Healthcare

Senior Lead AI Engineer (FM Hosting)

Senior Lead AI Engineer (FM Hosting) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to [email protected] Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

  • Pimmit, VA

  • no content

Sr. Lead Machine Learning Engineer

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What You’ll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor’s Degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4 years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3 years of experience developing performant, resilient, and maintainable code 3 years of experience with data gathering and preparation for ML models 3 years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3 years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to [email protected] Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

  • Prince, NY

  • no content

Sr. Lead AI Engineer (Inference Optimization, FM hosting, AI Platform)

Sr. Lead AI Engineer (Inference Optimization, FM hosting, AI Platform) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to [email protected] Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

  • Pimmit, VA

  • no content

Applied Researcher I (AI Foundations)

Applied Researcher I (AI Foundations) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B parameters, 500B tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to [email protected] Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

  • Pimmit, VA

  • no content

Applied Researcher I (AI Foundations, LLM Core and Agentic AI)

Applied Researcher I (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B parameters, 500B tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to [email protected] Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

  • Prince, NY

  • no content

Distinguished AI Engineer

Distinguished AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer Richmond, VA: $244,700 - $279,200 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to [email protected] Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

  • Pimmit, VA

  • no content

Certified Medical Assistant - CMA

Job Summary Geisinger offers outpatient Certified Medical Assistants a $3,000 bonus for eligible candidates. Geisinger has hundreds of community sites that allows Certified Medical Assistants to work to the top of their certification while providing top-notch care in an ambulatory setting. Job Duties Obtains and documents, using the rooming tool in the electronic medical record, the patient’s reason for visit, weight, vital signs, visit screening information, medication review, and pertinent information for provider. Sets up examination and treatment rooms between cases. Assists patient as needed to prepare for visit with provider, takes appropriate measures to assure patient’s safety and privacy. Provides direct patient care as directed by provider based on competency and needs of clinic, such as performs EKGs, wound dressings, and functions as support to the provider during minor surgical procedures and ancillary examinations. Prepares and administers medications according to policy and procedure after validation of knowledge and demonstration of competency. May not administer intravenous medications. Completes patient tests and treatments per provider’s order according to policy and procedure after validation of knowledge and demonstration of competency. Collects and prepares laboratory specimens and completes associated paperwork accurately and efficiently to expedite laboratory studies. Performs phlebotomy and may assist in specific laboratory functions relative to the testing, reporting, and quality assurance of laboratory specimens as educated and overseen by the laboratory. Performs receptionist and clerical duties to support patient care and functioning of the clinic, including matching and filing ancillary department reports, consultation and other medical reports in patients’ medical records. Documents in the appropriate sections to create a complete and accurate medical record. Uses the electronic medical record and scheduling system as designated. Facilitates timely appointments for patients. Completes referrals and pre-authorizations as needed. Collects co-payments. Under the direction of the provider and/or site lead, assists with orientation of new personnel. Executes and documents ongoing patient communication, as directed by provider, prioritizes communications to the provider, responds to patient questions and requests to ensure efficient use of provider time and timely response to patient needs. Reinforces patient education as directed by the provider to support patient’s understanding of instructions. May inventory medical/surgical supplies and pharmaceuticals non-controlled substances only to ensure adequate supply levels, verify expiration dates, document utilization, optimize organizational efficiency and space utilization. May have access to non-controlled medication storage/supply areas and can transport non-controlled medications as necessary to meet the needs of the clinic/unit. Prepares and cleans instruments. Follows protocols for sterilization and disinfection, including high level disinfection of instruments and equipment. Cleans/sets up examination rooms between patients using established infection prevention protocols. Follows hand hygiene and appropriate infection prevention precautions. Routinely inspects/observes condition and operation of diagnostic equipment and instrumentation to ensure proper operation and identifies need for preventive and/or corrective maintenance. Responsible for actively participating in patient safety and quality improvement program. Work is typically performed in a clinical environment. Travel may be required. Accountable for satisfying all job specific obligations and complying with all organization policies and procedures. The specific statements in this profile are not intended to be all-inclusive. They represent typical elements considered necessary to successfully perform the job. Additional competencies and skills outlined in any department-specific orientation will be considered essential to the performance of the job related to that position. Position Details Hiring Incentive: This position qualifies for a $3,000 sign-on bonus paid over two years. Certain stipulations do apply. Hours: Days Required: Graduate of an accredited 1-year certificate or 2-year diploma Medical Assistant program preferred. Certified Medical Assistant (CMA) or Registered Medical Assist (RMA) required. Certified by one of the listed governing associations required: NHA, AMT, AAMA, NAHP, NCCT, AAH, or AMCA. Benefits of working at Geisinger: Full benefits (health, dental and vision) starting on day one Three medical plan choices, including an expanded network for out-of-area employees and dependents Pre-tax savings plans with healthcare and dependent care flexible spending accounts (FSA) and a health savings account (HSA) Company-paid life insurance, short-term disability, and long-term disability coverage 401(k) plan that includes automatic Geisinger contributions Generous paid time off (PTO) plan that allows you to accrue time quickly Up to $5,000 in tuition reimbursement per calendar year MyHealth Rewards wellness program to improve your health while earning a financial incentive Family-friendly support including adoption and fertility assistance, parental leave pay, military leave pay and a free Care.com membership with discounted backup care for your loved ones Employee Assistance Program (EAP): Referrals for childcare, eldercare, & pet care. Access free legal guidance, mental health visits, work-life support, digital self-help tools and more. Voluntary benefits including accident, critical illness, hospital indemnity insurance, identity theft protection, universal life and pet and legal insurance Education High School Diploma or Equivalent (GED)- (Required), Graduate from Specialty Training Program- (Preferred) About Geisinger OUR PURPOSE & VALUES: Everything we do is about caring for our patients, our members, our students, our Geisinger family and our communities. KINDNESS: We strive to treat everyone as we would hope to be treated ourselves. EXCELLENCE: We treasure colleagues who humbly strive for excellence. LEARNING: We share our knowledge with the best and brightest to better prepare the caregivers for tomorrow. INNOVATION: We constantly seek new and better ways to care for our patients, our members, our community, and the nation. SAFETY: We provide a safe environment for our patients and members and the Geisinger family We offer healthcare benefits for full time and part time positions from day one, including vision, dental and domestic partners. Perhaps just as important, from senior management on down, we encourage an atmosphere of collaboration, cooperation and collegiality. We know that a diverse workforce with unique experiences and backgrounds makes our team stronger. Our patients, members and community come from a wide variety of backgrounds, and it takes a diverse workforce to make better health easier for all. We are proud to be an affirmative action, equal opportunity employer and all qualified applicants will receive consideration for employment regardless to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or status as a protected veteran.

  • Port Matilda, PA

  • no content

Practice Manger

Arnold & Porter is seeking a strategic, collaborative, and results-driven Practice Manager to join our Innovation and Practice Management Department in Washington, DC. In this highly visible role, you will partner closely with Practice Group Leaders and collaborate across the firm, including Legal Talent, Business Development, Finance, Legal Technology, and Firm Administration, to drive operational excellence across our Labor & Employment, Environmental, and Privacy Practice Groups. This position offers a unique opportunity to influence strategy, optimize practice operations, and support the continued growth and success of three dynamic practices. Key Responsibilities Strategic Practice Leadership Partner with Practice Group Leaders to develop and execute strategic and operational initiatives. Serve as a key advisor on practice activity, trends, and operational priorities. Identify opportunities to improve attorney efficiency, matter management, and resource utilization. Develop internal communications and messaging to support practice engagement and alignment. Advance innovation initiatives and client-focused solutions across the practices. Resource & Talent Management Monitor matter activity, workload distribution, and attorney capacity to support effective staffing decisions. Assess resource needs and prepare analyses to support recruiting and growth initiatives. Collaborate with Legal Personnel and practice leadership on attorney-related matters. Support equitable and strategic allocation of billable work. Practice Operations & Communications Develop agendas, presentations, and materials for practice group meetings. Facilitate regular communication and information sharing across attorneys and administrative teams. Ensure practice leaders have the information and insights needed to make informed business decisions. Cross-Functional Collaboration Serve as a key liaison between the practice groups and firm administrative teams, including: Finance: Analyze financial performance and identify reporting and business intelligence needs. Business Development: Support growth initiatives, client opportunities, and successful lateral integration. Talent Development: Partner on associate development, mentoring, evaluations, promotions, training, and retention strategies. Legal Technology: Identify and implement innovative tools and processes that enhance collaboration, productivity, and matter management. Act as a trusted advisor and resource to attorneys at all levels. Qualifications Bachelor's degree required; Master's degree or J.D. preferred. Experience in law firm management, professional services operations, or a related leadership role. Experience supporting legal practices; transactional law experience is a plus. Advanced proficiency in Microsoft Office Suite, including Word, Excel, and PowerPoint. Skills & Attributes Strong financial, analytical, and project management capabilities. Strategic thinker with a proactive, solutions-oriented mindset. Ability to work independently while collaborating effectively across offices and practice groups. Proven ability to build credibility and trusted relationships with attorneys and business professionals. Exceptional written and verbal communication skills. Strong organizational skills with the ability to manage multiple priorities in a fast-paced environment. Excellent judgment, attention to detail, and commitment to high-quality work product. Outstanding interpersonal and relationship-building skills. The anticipated base salary for this position is $130,000-$175,000. The actual base salary offered will depend on a variety of factors, including without limitation, the qualifications of the individual applicant for the position, years of relevant experience, level of education attained, certifications or other professional licenses held, and if applicable, the location in which the applicant lives and/or from which they will be performing the job. For benefits information, please click here https://www.arnoldporter.com/en/careers/professional-staff/benefits . The firm may provide a discretionary bonus annually. Arnold & Porter is an equal opportunity employer that does not discriminate on the basis of race, color, creed, religion, national origin, sex, pregnancy and childbirth (including breastfeeding and related medical conditions), age, marital or partnership status, familial status, sexual orientation, gender, gender identity, gender expression, transgender, physical or mental disability, medical condition, family leave status, citizenship status, immigration status, ancestry, genetic information, military or veteran status, or any other characteristic protected by local, state or federal laws, rules or regulations. Our Firm's equal opportunity policy applies to all employment practices and terms and conditions, including, without limitation, recruitment, employment, assignment, training, compensation, benefits, promotions, disciplinary action and terminations. For purposes of the firm's Anti-discrimination and Anti-harassment Policies, the term "race" includes, without limitation, traits historically associated with race, including, but not limited to, hair texture and protective hairstyles, such as braids, locks, and twists. Arnold & Porter Kaye Scholer LLP endeavors to make www.arnoldporter.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact Director of Support Staff Stephanie Denmark at 1 202.942.6068. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. For our EEO Policy Statement, please click here . If you would like more information about your EEO rights as an applicant under the law, please click Know Your Rights . Arnold & Porter Kaye Scholer LLP uses E-Verify, which is a web-based system, to confirm the eligibility of our employees to work in the United States. As an E-Verify employer, we verify the identity and employment eligibility of newly hired employees by electronically matching information provided by employees on the Form I-9, Employment Eligibility Verification, against records available to the Social Security Administration (SSA) and the Department of Homeland Security (DHS). We use E-Verify because we are a federal contractor containing the Federal Acquisition Regulation (FAR) E-Verify clause. Please see the posters for details regarding E-Verify or contact Arnold & Porter Kaye Scholer LLP’s Human Resources Department for more information. E-Verify Participation Poster and Right-to-work Poster .

  • Washington, DC

  • no content

Senior Director Hospital and Professional Revenue Recognition and Governmental Reimbursement

Job Summary Provides enterprise-wide strategic and strong leadership for patient service revenue recognition and governmental reimbursement for Geisinger’s hospitals, physician practices, pharmacies and specialty businesses, ensuring alignment with regulatory requirements. Job Duties Ensures the integrity, completeness, and accuracy of net patient service revenue, and third-party settlement estimates, in accordance with GAAP. Oversees methodologies supporting financial estimates and continuously monitors variance, hindsight analysis, and emerging trends. Leads the development of advanced analytics and tools (e.g., dashboards, predictive models) that provide actionable insights into revenue and reimbursement trends, denial drivers, and the financial impact of value-based and quality reimbursement programs. Responsible for system wide net revenue assumptions and modeling to support budgeting and forecasting. Proactively monitors and interprets evolving federal and state reimbursement regulations and payer methodologies, translating changes into actionable strategies that maintain full regulatory compliance. Synthesizes complex regulatory changes and reimbursement dynamics into clear, executive-level insights, including quantified financial impacts, risks, and recommended strategic responses for senior leadership and governance committees. Oversees the timely and accurate completion and submission of all third-party cost reports and other reimbursement reports or correspondence which may be required by third-party payors and/or government agencies. Oversees all interactions with Medicare Administrative Contractors and other payors, including audit management, settlement reviews, and appeal strategies, ensuring optimal financial outcomes and defensible positions. Directs the research and accumulation of data for filing of formal appeals, re-opening requests, exception requests to rates or payment methodologies to support the Geisinger's position on governmental and third-party regulations. Ensures compliance with all applicable federal and state reimbursement regulations, including CMS rules, Medicare/Medicaid payment methodologies, and related billing and documentation requirements across hospital, professional, and academic entities. Provides strategic and technical guidance on graduate medical education reimbursement, including modeling, affiliation agreements, and compliance with CMS resident cap regulations. Serves as a strategic advisor in evaluating proposed regulatory and legislative changes, partnering with Government Relations to influence policy through data-driven analysis, formal comment letters, and industry engagement. Builds and develops a high-performing team through strategic talent management, succession planning, and a culture of accountability, continuous improvement, and cross-functional collaboration. Champions the adoption and optimization of reimbursement and revenue analytics technologies, including automation tools and advanced modeling platforms, to improve accuracy, efficiency, and scalability. Provides subject matter expertise on reimbursement and revenue recognition implications for mergers, acquisitions, affiliations, and new business models, including due diligence, integration planning, and pro forma financial impact analysis. Work is typically performed in an office environment. Accountable for satisfying all job specific obligations and complying with all organization policies and procedures. The specific statements in this profile are not intended to be all-inclusive. They represent typical elements considered necessary to successfully perform the job. Position Details Required Skills and Experience: Hospital and Professional Revenue Recognition and Reimbursement Experience; Proven Leadership Experience; Strategic and Analytical Thinking; Strong Written Communication and Presentation Skills; Automation and Process Optimization; Team Development Focused on Critical Thinking, Problem Solving, and Continuous Improvement Education Bachelor's Degree- (Required), Master's Degree- (Preferred) About Geisinger OUR PURPOSE & VALUES: Everything we do is about caring for our patients, our members, our students, our Geisinger family and our communities. KINDNESS: We strive to treat everyone as we would hope to be treated ourselves. EXCELLENCE: We treasure colleagues who humbly strive for excellence. LEARNING: We share our knowledge with the best and brightest to better prepare the caregivers for tomorrow. INNOVATION: We constantly seek new and better ways to care for our patients, our members, our community, and the nation. SAFETY: We provide a safe environment for our patients and members and the Geisinger family We offer healthcare benefits for full time and part time positions from day one, including vision, dental and domestic partners. Perhaps just as important, from senior management on down, we encourage an atmosphere of collaboration, cooperation and collegiality. We know that a diverse workforce with unique experiences and backgrounds makes our team stronger. Our patients, members and community come from a wide variety of backgrounds, and it takes a diverse workforce to make better health easier for all. We are proud to be an affirmative action, equal opportunity employer and all qualified applicants will receive consideration for employment regardless to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or status as a protected veteran.

  • Danville, PA

  • no content

CRNA - Certified Registered Nurse Anesthetist - Highlands Anesthesia Services - AM (018)

Position Overview Pay range: $185,000 - $248,986 / year Sign-on bonus: $45,000 new hire sign-on bonus may be available Shifts: full-time and part-time AM, flexi/PRN Benefits and perks available for eligible positions include: robust educational assistance programs, generous paid time off, employee assistance and wellness programs, paid parental leave, qualifying employer for the Public Service Loan Forgiveness (PSLF) Program, plus more. Job Description To provide anesthesia under the direction of an anesthesiologist for diverse surgical procedures and diagnostic tests or cardio-thoracic surgical procedures and cardiac catheterizations. To participate in clinical instruction of nurse anesthesia students. Qualifications Graduate from an accredited Nurse Anesthesia Program required. Work experience may NOT substitute for education requirement. Currently certified as an Advanced Practice Nurse (APN) with Certified Registered Nurse Anesthetist (CRNA) Specialty by the Alabama Board of Nursing required. Currently certified with Advanced Cardiac Life Support (ACLS) required. Currently certified with Basic Life Support (BLS) from the American Heart Association (AHA) required. Currently certified with Pediatric Advanced Life Support (PALS) from the American Heart Association (AHA) required. Why Work at UAB Medicine We are UAB Medicine, Alabama’s largest and most comprehensive health system, recognized nationally for delivering world-class patient care, pioneering research, and cutting-edge medical education. We proudly serve more than 1.2 million patients each year – from every county in Alabama, all 50 states, and many countries around the world. Our network spans numerous hospitals, emergency departments, more than 67 other sites of care, and a team of over 3,100 physicians. Our key facilities include UAB Hospital – ranked the No. 1 hospital in Alabama by U.S. News & World Report and home to the state’s first ACS-verified Level I adult trauma center and only Magnet-designated hospital – along with UAB Hospital-Callahan Eye and five UAB St. Vincent’s hospitals serving central Alabama. UAB Medicine offers careers across a wide range of practice environments, from our internationally renowned academic medical center and award-winning community hospitals to our primary and specialty care clinics across the state. Whether you’re seeking the fast-paced learning environment of a tertiary care setting or the close-knit environment of a community facility, there’s a place for you on our team where you can become part of a mission-driven organization committed to delivering life-changing care. With nearly every medical specialty represented and unlimited opportunities for growth, you’ll find the right fit for your skills and career goals. We care for you by offering comprehensive, industry-leading benefit packages to support the individual preferences and circumstances of our diverse staff.

  • Birmingham, AL

  • no content

Assistant Professor (Tenure Track) - Speech-Language Pathology

Position Information Position Title Assistant Professor (Tenure Track) - Speech-Language Pathology Posting Number F222 College/Area College of Health, Science, and Technology Department Rehabilitation Sciences Bargaining Unit APSCUF Position Type Faculty Type of Appointment Full Time Complement Type Tenure Track Home Campus Bloomsburg City Bloomsburg State Pennsylvania Zip Code 17815 FTE% 100% Work Location Home Campus Salary Commensurate with experience and qualifications If Other, please list Appointment Start Date January 26, 2026 Benefits Medical and prescription drug benefits. Generous retirement plans, two options: Alternative Retirement Plan (ARP) State Employees’ Retirement System (SERS) Tuition benefits for employees and dependents. Paid time off. Employer-paid dental and vision benefits. Employer-paid life insurance. Voluntary insurances and additional retirement programs. *Specific benefits may vary based upon university, employee group and/or collective bargaining unit. Visit: http://www.passhe.edu/inside/HR/syshr/healthcare/Pages/Summary-of-Benefits.aspx for additional information regarding benefits. To be eligible for most benefits, you must be a permanent, full-time employee (including temporary, full-time faculty with at least an academic year contract) or a permanent, part-time employee (including temporary, part-time faculty with at least an academic year contract) who is scheduled to work every pay period for at least 50% of full-time hours. Position Description Summary The home campus for this position is Bloomsburg with the expectation of serving a multi-campus University within the Pennsylvania State System of Higher Education. About the Department: The Department of Rehabilitation Sciences offers high quality programs at the undergraduate, graduate, and doctorate level, preparing graduates for successful careers in allied health, public schools, private practice, and other work settings — to include some of the most sought-after careers in a growing competitive global job market. The undergraduate and graduate Speech-Language Pathology (M.S.) and Audiology (Au.D.) programs are supported by 12 full-time faculty and clinical staff. Faculty and staff benefit from our on-campus clinical facilities and research labs. Faculty-led research is supported though generous internal grants, and our various programs within the Department of Rehabilitation Sciences and the College of Health, Science, and Technology provide excellent opportunities to conduct collaborative research and engagement in interprofessional education. Our in-house Speech, Language, and Hearing Clinic, in addition to our affiliate school district site, offer excellent opportunities for clinical and school-based research. About the College:The College of Health, Science, and Technology (CoHST) is comprised of the Departments of Biological and Health Sciences; Mathematics, Computer Science, and Digital Forensics; Physical and Environmental Sciences; Physician Associate Studies; Rehabilitation Sciences; and the Breiner School of Nursing. CoHST offers several bachelors, masters, and doctoral programs. The health professions programs housed under the college aims to prepare competent and caring health care professionals to serve communities and the health care industry. Duties Qualifying Experience and Education (Minimum/Preferred) An earned doctorate (Ph.D. or Ed.D.) in Communication Sciences and Disorders or related area and the ASHA Certificate of Clinical Competence in Speech-Language Pathology are required prior to start date. Preferred Qualifications Previous graduate-level teaching experience Record of peer-reviewed publications and presentations Clinical experience Expertise in one or more of the following areas: Swallowing Disorders; Adult Neurogenic Disorders; Voice and Resonance Disorders. Other areas of expertise may be considered. Special Instructions to Applicants Applications must be submitted online by September 15, 2025 for full consideration. Position will remain open until filled. Questions may be directed to the Search & Screen Committee Chair: Dr. Patricia Lawton ([email protected]). Finalist(s) for this position must successfully complete an interview process and a teaching demonstration or research presentation. Recommendation for hiring is needed from a majority of the regular, full-time department faculty. Completing this search is contingent upon student enrollment and available funding. Supplemental Information Background Clearances Diversity Statement Title IX/Clery The University also complies with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crimes Statistics Act, as amended by the Violence Against Women Act ( VAWA). Title IX prohibits retaliation for asserting or otherwise participating in claims of sex discrimination. VAWA imposes additional duties on universities and colleges to investigate and respond to reports of sexual assault, stalking, and dating or domestic violence, and to publish policies and procedures related to the way these reports are handled. The University has designated the Title IX Coordinator (Jennifer Raup, Elwell Hall, ORL, 570-389-4808, [email protected] or [email protected]), to coordinate the University’s compliance with Title IX and VAWA and to respond to reports of violations. The University has directed the Police Department to coordinate the University’s compliance with the VAWA-related Clery reporting requirements. For information on the University’s crime statistics, which is available in a publication called “Annual Security Report”, please contact Commonwealth University – Bloomsburg Police at 570-389-2211, Commonwealth University – Mansfield Police at 570-662-4900, or Commonwealth University – Lock Haven Police at 570-484-2278 or by accessing the following website: https://www.commonwealthu.edu/offices-directory/university-police/annual-security-report. Additionally, inquiries concerning Title IX and its implementing regulation can be made to the U.S. Department of Education, Office of Civil Rights, Region III, The Wanamaker Building, 100 Penn Square East – Suite 505, Philadelphia, PA 19107; Phone: (215) 656-6010; Fax: (215) 656-6020. About Commonwealth University of PA Anticipated Start Date Anticipated End Date The Pennsylvania State System of Higher Education provides a comprehensive package of employer benefits to eligible employees and their enrolled dependent(s), which include*: The Department of Rehabilitation Sciences at Commonwealth University of Pennsylvania invites applications for a full-time, tenure-track faculty position to support our dynamic Speech-Language Pathology graduate program and our Audiology and Speech-Language Pathology undergraduate program. We are seeking a visionary educator and researcher committed to advancing these programs through innovative teaching, scholarly excellence, and student-centered engagement. The successful candidate will complement the expertise of current faculty, foster a collaborative environment, and contribute to the continued development and recognition of our department. Teach courses in the graduate Speech-Language Pathology program and undergraduate Audiology and Speech-Language Pathology program Conduct and disseminate research in the fields of speech, language, and hearing sciences Mentor and advise students, fostering a supportive and dynamic learning environment Collaborate with faculty to implement forward-thinking curricular and program developments Participate in service to the department, college, university, and professional communities Complete distance education training programs as made available by the University within two years of hire for the purpose of teaching in a multi-campus environment with remote teaching needs Minimum Qualifications A complete application includes the following: 1) a letter of interest specifying your qualifications for the position 2) curriculum vita 3) unofficial academic transcripts 4) a one-page statement of your teaching philosophy 5) a one-page statement of your research agenda 6) contact information for three professional references. Finalist(s) for this position must communicate well and successfully complete an interview process. Recommendation for hiring is needed for a majority of the regular, full-time department faculty. Completing this search is contingent upon student enrollment and available funding. Offers of employment are conditional, pending successful completion of the background clearances mandated by Act 153 of 2014 and Board of Governors Policy 2014-01-A: Protection of Minors. In order to qualify for a provisional appointment, the Applicant Acknowledgement Consent Form, Provisional Hire Form, Pennsylvania State Police and Justifacts portion of the clearance process must be successfully completed prior to your start date. The remaining PA Child Abuse History Clearance and FBI Clearance must be successfully completed and returned as soon as possible within the first 90 days of employment. At Commonwealth University we recognize our responsibility to continuously support a living, learning, and working environment that values the diverse contributions from all members of our campus community. Our commitment to diversity, equity and inclusion enriches our campus community and is instrumental to our institutional success. Commonwealth University strives to cultivate a campus climate that allows all members to embrace diversity, equity and inclusion as we achieve success both in and out of the classroom, in our work responsibilities, and in our professional lives beyond Commonwealth University. We uphold our commitment to DEI by: • Actively supporting and promoting the intellectual and personal growth of our students, inside and outside of the classroom. • Providing workshops, trainings, programs designed to broaden the knowledge and understanding of diversity, equity and inclusion within our campus community. • Ensuring that all learning and living environments throughout our campus are welcoming and capable of serving all individuals. The University prohibits any form of discrimination or harassment on the basis of sex, race, color, age, religion, national or ethnic origin, sexual orientation, gender identity or expression, pregnancy, marital or family status, medical condition, genetic information, veteran status, or disability in any decision regarding admissions, employment, or participation in a University program or activity in accordance with the letter and spirit of federal, state, and local non-discrimination and equal opportunity laws, such as Titles VI and VII of the Civil Rights Act of 1964, Title IX of the Education Amendments of 1972, the Age Discrimination in Employment Act, the Americans with Disabilities Act and ADA Amendments Act, the Equal Pay Act, and the Pennsylvania Human Relations Act. The Power of Three Bloomsburg, Lock Haven and Mansfield universities have joined forces to boldly transform higher education in our region and beyond. While we are uniting as Commonwealth University of Pennsylvania, you can expect a college experience that is anything but common. We’re Honoring our History by preserving the founding principles of each campus and continuing our vibrant on-campus student experience, serving as pillars of our communities, supporting students and our neighbors alike. We’re Investing in Today by answering the greatest challenges facing higher education: accessibility, cost, quality, and relevance through the combined strength of our storied institutions. We’re Building a Powerful Tomorrow by boldly changing the trajectory of public education to position ourselves for growth, increased access, and to meet economic and workforce development needs in our region, across Pennsylvania and beyond. January 26, 2026 Posting Detail Information Open Date mm-dd-yyyy 08/14/2025 Close Date mm-dd-yyyy Open Until Filled Yes Quick Link https://commonwealthu.peopleadmin.com/postings/4419 Salary: . Date posted: 08/05/2026

  • Bloomsburg, PA

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RN Clinical Supervisor - Chemo

Description Summary: The Clinical Supervisor, in collaboration with and under the direction of the Nursing Department Director/Manager, is accountable for ongoing shift leadership and operations of a clinical department and for nursing care safety and quality. The Clinical Supervisor uses sound human resource and budget principles to guide the daily provision of nursing services to patients and families. The Clinical Supervisor supports comprehensive patient and family services through effective participation with the interdisciplinary team. The Clinical Supervisor is responsible for supervising nursing department associates and providing patient care when needed. Coaches and guides employees under his/her supervision. Demonstrates Professionalism and Excellence by performing as role model for clinical and service excellence. Responsibilities: Demonstrates current, comprehensive, professional knowledge and skills in conformance with recognized nursing standards including the Patient Bill of Rights and Joint Commission/CMS regulations, Standards for Nursing Care for the Patient Care Unit and the New Mexico Nurse Practice Act. Conducts patient experience rounds to determine satisfaction with services and performs service recovery real-time. Assists manager/director in investigation of patient or physician complaints. Champions change by identifying obstacles and requesting resources for effective improvement. Prepares patient assignments based on patient need and associate competency level. Assigns unit tasks, meal/break time and ensures completion. Assists Patient Flow Supervisor in monitoring and improving patient flow metrics, including collaborating to determine appropriate placement based on patient needs. Promotes cohesive work teams and constructive conflict resolution, actively supporting intra- and inter-disciplinary teamwork, within the department. Monitors, coaches and reinforces associate's compliance with policy and procedures. Applies and holds associates accountable for infection control policies and processes. Monitors and coaches staff in hourly rounding and use of patient communication boards. Serves as clinical resource for associates related to complex clinical situations and invasive devices relevant to unit patient population. Monitors fall risk and skin at risk programs to ensure appropriate interventions are implemented to meet prevention strategies. Monitors pain management regimes with nursing staff and facilitates physician communication when not meeting patient pain goals. Facilitates associate participation in unit based multi-disciplinary rounds. Demonstrates awareness and implementation of National Patient Safety Goals as applicable in their area of practice. Monitors and coaches associates for compliance with NPSG. Reassesses the effectiveness of comfort measures (including PRN medications given) within 1 hour of intervention. Monitors associate compliance with this standard. Coaches and mentors associates to make cost effective decisions and use resources prudently achieving both productivity and competence expectations. Adheres to guidelines for IV therapy/Blood Administration. Monitors and coaches staff compliance. Adheres to medication administration guidelines and safe medication practices. Monitors and coaches staff to ensure for compliance with medication administration and safe medication practices. Utilizes AIDET to make a positive first impression. Monitors and coaches associates to achieve AIDET process. Demonstrates and takes responsibility for workplace safety. Exhibits knowledge regarding the hazard and injury reporting procedures. Accurately interprets monitored rhythms and intervenes according to hospital policies and standards. Assists with special procedures as applicable to patient population. Assists in data collection, assessment and documentation appropriate to nature and severity of the need of the patient population. Communicates appropriate data to the physician and other patient care team members. Ensures timely and accurate implementation of physician orders. Performs emergency equipment checks at start of shift. Primary responder to unit emergent events including Code Blue Alert and Rapid Response Team. (Critical Care responds to RRT throughout the organization). Code Blue Alert Management – Prepares patients for emergency treatment with thorough knowledge of emergency practices. Coordinates emergency measures to sustain life. Performs end of shift controlled substance count and ensures resolution of all Pyxis discrepancies prior to shift end. Provides appropriate hand-off communication with patient transitions of care. Assists manager/director in development of unit associate time schedule. Assists staffing office in determining real time staffing needs based on census, patient needs and skill set of associates. Assists with new associate selection and unit education-participating in staff interviews, setting clear staff performance expectations, encouraging staff development, and completing timely performance evaluations-including staff input in each process. Initiates first level counseling as appropriate. Assists manager/director in corrective action/discipline process as indicated. Performs patient care duties when appropriate. Requirements: Education: Graduate of an accredited school of Nursing. BSN preferred. National specialty certification preferred. Experience: 3 years relevant experience preferred but not required. Must be able to demonstrate the knowledge and skills necessary to provide care/service appropriate to the age of the patients served on the assigned unit/department. Certifications, Registrations, or Licenses: Current RN license in the State of New Mexico. Current BLS Certification. Current ACLS Certification or obtain within 6 months. Current PALS/NRP if applicable to area. Current TNCC if applicable to area or obtain within 6 months. Current CPI or equivalent must be obtained within six months for Behavioral Health and Emergency Department. BLS, ACLS and PALS must be issued through American Heart Association. Work Schedule: 5 Days - 8 Hours Work Type: Full Time

  • Chimayo, NM

  • no content