AI Engineer 5 (GenAI Platform Services, Agentic Platform)

AI Engineer 5 (GenAI Platform Services, Agentic Platform) 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. What You’ll Do: 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, agents and multi-agent workflows, 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, PyTorch, and more. Invent and introduce state-of-the-art foundation model 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. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity 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 enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer 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, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 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, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, 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 Experience in building agentic AI systems and agentic workflows 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 Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 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 AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 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).

AI Engineer 5 (AI Foundations)

AI Engineer 5 (AI Foundations) 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. What You’ll Do: 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, agents and multi-agent workflows, 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, PyTorch, and more. Invent and introduce state-of-the-art foundation model 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. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity 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 enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer 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, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 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, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, 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 Experience in building agentic AI systems and agentic workflows 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 Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 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 AI Engineer 5 Cambridge, MA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 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).

Applied Researcher 5 (AI Foundations, LLM Core and Agentic AI)

Applied Researcher 5 (AI Foundations, LLM Core and Agentic AI) 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. What You’ll Do: 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, 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. Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact 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, 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 plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 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: $262,500 - $299,600 for Applied Researcher 5 McLean, VA: $262,500 - $299,600 for Applied Researcher 5 New York, NY: $286,400 - $326,800 for Applied Researcher 5 San Jose, CA: $286,400 - $326,800 for Applied Researcher 5 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).

Sr. Manager, AI Engineer (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation)

Sr. Manager, AI Engineer (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation) 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. What You’ll Do: 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 Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more Invent and introduce state-of-the-art foundation model 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 Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI Translate enterprise AI goals into actionable team roadmaps with measurable outcomes and regular readouts Operationalize Responsible AI: establish review gates, documentation/evaluation requirements, and rollout/rollback standards for all production AI systems Create strong collaboration interfaces with Research, Data, and Platform teams to accelerate model lifecycle 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 get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example 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 enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer 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 1 year of people leadership experience Preferred Qualifications: 3 years of experience managing and leading an engineering team 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience in building agentic AI systems and agentic workflows 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 Experience leading technical strategy for a multi-disciplinary AI team, balancing research exploration with production delivery Familiarity with MLOps, AI observability (evaluation pipelines, drift monitoring, model/version governance) to ensure reliability and compliance Track record mentoring engineers/scientists to productize prototypes and meet production SLOs Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 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. Manager, AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Manager, AI Engineer New York, NY: $250,800 - $286,200 for Sr. Manager, AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Manager, AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Manager, 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).

Applied Researcher 4

Applied Researcher 4 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. What You’ll Do: 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, 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. Collaborate with senior researchers to prepare internal tech reports or conference submissions summarizing novel methods or findings 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 Behavioral Models PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR Worked on scaling graph models to greater than 50m nodes Experience with large scale deep learning based recommender systems Experience with production real-time and streaming environments Contributions to common open source frameworks (pytorch-geometric, DGL) Proposed new methods for inference or representation learning on graphs or sequences Worked datasets with 100m users 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 Data Preparation Publications studying tokenization, data quality, dataset curation, or labeling Contribution to a major open source corpus Contribution to open source libraries for data quality, dataset curation, or labeling Demonstrated ability to reproduce and extend peer-reviewed AI research using modern open-source frameworks Experience designing controlled experiments and documenting reproducibility results for internal or public research 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: $218,700 - $249,600 for Applied Researcher 4 Cambridge, MA: $218,700 - $249,600 for Applied Researcher 4 New York, NY: $238,600 - $272,300 for Applied Researcher 4 San Francisco, CA: $238,600 - $272,300 for Applied Researcher 4 San Jose, CA: $238,600 - $272,300 for Applied Researcher 4 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).

KITCHEN & BATH SHOWROOM ASSISTANT - KS

Description: Kitchen & Bath Showroom Assistant - KS Lenexa KS Kitchen and Bath Showroom Assistant Introduction Join our dynamic team as a Kitchen & Bath Showroom Assistant in Kansas (KS), where you'll play a vital role in supporting the store manager and all showroom consultants. In this position, you'll assist with a variety of clerical activities and related tasks. Kitchen & Bath Showroom Assistant Job Responsibilities - Greet and direct all showroom visitors. - Follow up on all open job statuses for the ETA on all products when requested by the manager or the consultants - Answer multi-line phone in a professional and courteous manner and transferring customer to the appropriate consultant or their voicemail. - Support consultants by processing written orders into quotes accurately and timely. - Coordinate with suppliers and vendors to ensure timely delivery of products. - Responsible for contacting customers when orders are complete. - Update, prepare, and organize picture books regularly. in a timely manner. - Organize and order all showroom literature and distribute updated price books. - Provide administrative support, including managing and distributing mail, handling daily tickets, balance cash drawer weekly, and day end reports for showroom. - Assist warehouse with product check in, receiving SX, and prepare transfer shipment paperwork for all carrier transports. - Maintain inventory, stocking copier, water, bathroom, breakroom and the cleanliness of the showroom. Collaborate with corporate for supply orders. - Stay informed about industry trends and new product offerings to provide knowledgeable assistance to customers. - Perform other duties as assigned by management. Requirements: Kitchen & Bath Showroom Assistant Job Requirements - High school diploma or equivalent - Six months to one year of previous experience in a retail or showroom environment, preferably related to kitchen and bath products - Strong customer service skills and a friendly, approachable demeanor - Excellent communication and interpersonal skills, written and verbally - Ability to work collaboratively in a team-oriented environment - Knowledge of Microsoft Office Suite (Word, Excel, Outlook) - Strong organizational skills and attention to detail - Ability to manage multiple tasks and prioritize effectively - Willingness to learn about new products and industry trends - Ability to lift and handle materials up to 25 pounds, crouching, kneeling, and reaching - Ability to work independently on assigned tasks as well as to accept direction on given assignments - Must posses strong computer skills and the ability to quickly learn and confidently use new software programs as required - Must have the basic understanding of purchasing, receiving, invoicing and returns - Attendance on a regular and consistent basis is mandatory. Punctuality is required daily. Hours are Monday through Friday from 8:00 am to 5:00 pm; including one Saturday per month from 9:00 am - 1:00 pm. PI4230da7441ea-7638

Education Specialist

National Radio Astronomy Observatory Title: Education Specialist Location: 1011 Lopezville Rd, Socorro, NM 87801, USA Requisition Number: 274 Job Family: Education & Public Outreach Pay Type: Salary Required Education: ADM T Position Description: Position Summary The National Radio Astronomy Observatory (NRAO) is a prestigious research and development organization that plays a vital role in the study of the universe. Associated Universities, Inc. (AUI) is a nonprofit organization that manages and operates the NRAO under a cooperative agreement with the National Science Foundation. The Observatory is a hub for technological and scientific collaboration, operating state-of-the-art radio telescope facilities for use by the international scientific community. The Observatory has been instrumental in the study of black holes, galaxies, and the early universe. At NRAO, we are recruiting for a full-time Education Specialist on the STEAM Education team within the Education and Public Outreach (EPO) division at our offices in Socorro, New Mexico. The Education Specialist will assist in designing, creating, implementing, and executing formal and informal education programs for K-12 students and teachers, and other K-12 focused STEM groups. Subject matter will include a broad range of subjects related to radio astronomy, to be presented online and/or in person. The Education Specialist will also work with and support the greater EPO team efforts. The STEAM Education team is split between NRAO's Charlottesville, Virginia, Green Bank, West Virginia, and Socorro, New Mexico locations and is led by the Education Program Manager. The Supervisory Education Specialist and this Education Specialist are based in New Mexico, along with two part-time tour guides. An initial remote work arrangement may be possible, but the successful candidate's duty station will be Socorro, New Mexico by the start of the 2027 calendar year. The Education Specialist Leads the formal and informal education and visitor center programs conducted in New Mexico and throughout the Observatory. Manages the establishment of education goals and strategies and implements tactics to achieve with the Observatory EPO mission and vision and strategic education goals. Collaborates with EPO staff and others to fund new initiatives and assess the effectiveness of the Observatory wide formal and informal education program What You Will be Doing: Reporting to the Supervisory Education Specialist, and working with the Education Program Manager, the ideal candidate for this position will be responsible for, but not limited to: Developing and implementing formal education, informal education, and professional development programs related to astronomy, radio astronomy and the NRAO for K-12 teachers and students Identifying K-12 STEM/STEAM stakeholders and organizations at the city- (Socorro) and state- (New Mexico) levels and working to establish ongoing relationships, understanding their needs, and proposing how NRAO EPO/STEAM Ed can be of support. Planning and coordinating EPO Events such as Open Houses, Science Fairs, and exhibition booths with hands-on activities at local and state STEM events (when applicable). Working with EPO Public Information Group and actively contributing to EPO short and long-term planning, program development, and reporting. Compiling evaluation metrics and feedback to measure impact. Delivering programs and presentations for the students, educators, and the public. Answering queries from students. Work Environment Work is typically performed in an educational, research, or development environment. Often works at high altitudes. Occasional domestic travel is required. Requires occasional evening, weekend, and outdoor events. Must be able to work a varied flexible work schedule. Who You Are: Education Bachelor's degree in astronomy, physical science, education, or a related field is required. Enthusiasm for astronomy education is required. Experience One year of classroom teaching experience (middle or high school) in physics, astronomy, or related subjects. Experiences facilitating research experiences in the classroom (posing a research question, collection of data, data analysis and reporting on results) with actual data sets preferred. Skills and Competencies Strong ability to work in a collaborative team-based environment with both remote and non-remote colleagues. Proactive self-starter who is comfortable operating with some autonomy while maintaining the ability to drive a shared vision, mission, goals and objectives; Flexible and adaptable, with the proven ability to maintain successful outcomes in changing environments. Willingness to travel, if necessary. Working knowledge of social media, multimedia applications, and office software such as MS Office. Experience with organization/productivity tools such as Trello, Slack, and Google Drive preferred. Active learner with a desire to learn and grow through this opportunity High level of competency in Microsoft software products and web-based systems, and SharePoint. Excellent interpersonal skills, with the proven ability to establish and maintain working relationships with a wide range of people and personality types. Excellent verbal and written communication skills, including public speaking; and the ability to communicate comfortably and effectively with scientists, the public, educators, students, senior managers, and the media Additional Requirement The selected candidate must successfully pass a post-offer, pre-employment background check which includes both credit history and criminal, as a condition of employment. Must have a driver's license and access to reliable transportation. Must be able to lift 25 pounds and be on your feet for extended periods of time. Observatory employees must be authorized to work in the United States. The Observatory presently cannot sponsor H-1B Visas for this position. Total Rewards: Compensation The starting salary of this position is between $52,000 and $61,000 . Factors which may affect starting pay may include; education, experience, skills, competencies, other qualifications of the successful candidate, as well as internal equity and labor market conditions. Benefits: Associated Universities, Inc (AUI) offers a comprehensive benefits package addressing the needs of employees and their families with most benefits beginning on the first day of employment, subject to eligibility requirements. AUI provides: Excellent paid time off (13 holidays, annual accrual of up to 24 vacation days) Medical, dental and vision plans are effective on the first day of employment. AUI's retirement benefit contributes an amount equal to 10 percent of a qualified participant's base pay with no required employee contribution. Click Total Rewards for more information. Application Instructions: Select the "Apply" button above. Please be prepared to upload your current CV/Resume and a cover letter describing interest and suitability for the position . Equal Opportunity Employer Statement: AUI is an equal opportunity employer. To view our complete statement, please visit . If you require reasonable accommodation for any part of the application or hiring process, you may submit your request by sending an email to . PM20 Compensation details: 0 Yearly Salary PIf73643e529c0-8750

Assistant Men's Volleyball Coach

Lycoming College is hiring an Assistant Men's Volleyball Coach. Lycoming College, one of the nation's oldest residential liberal arts and sciences colleges, invites candidates for its part-time Assistant Men's Volleyball Coach position. This position is responsible for all aspects of Lycoming College's NCAA Division III men's volleyball program and will be expected to abide by and uphold the regulations of the NCAA Division III and the Landmark Conference. This is a part-time position that works from July through June for a total of $10,512.50 annually for a total of approximately 1,450 hours. Who We Are: Founded in 1812, Lycoming College is one of the nation's oldest and most respected liberal arts colleges. Today, our community of 1,200 active learners from 22 states and territories and 17 countries comprises a student body that is 32 percent domestic students of the global majority or international, all of whom work with our renowned scholars to craft customized combinations of market-driven majors, minors and concentrations across our 48 academic programs. Students compete in 19 NCAA Division III sports, participate in faculty-driven research, thrive in a robust program of internship experiences, and study abroad in more than two dozen countries. Lycoming College has one of the highest endowment-per-student ratios in the country. The institution is a member of the Annapolis Group of Liberal Arts Colleges and is recognized by U.S. News as a top 100 National Liberal Arts College and the No. 22 Best Value School. Lycoming College is dedicated to providing a high-quality liberal arts and sciences education for all students. Learn more at . The College proudly celebrates and values the principle of inclusive excellence. In support of its commitment to establishing an inclusive and equitable campus, Lycoming College seeks to recruit more faculty and staff from historically underrepresented groups with the recognition that doing so advances institutional excellence. Lycoming College is an equal opportunity employer. What will I do in this role? Model integrity, respect, and good sportsmanship at all times and hold student-athletes accountable for the same behavior. Communicate regularly with the Head Coach and contribute positively to the betterment of the total athletics program and Lycoming community as a representative of the men's volleyball program. Promote the Men's Volleyball program, the overall athletic program and Lycoming College in a professional manner with alumni, parents, community members, and fellow Lycoming College personnel. Know and abide by NCAA DIII regulations and Landmark Conference rules. Successfully complete the annual NCAA "open book" rules test. Comply with the policies and procedures outlined in the Lycoming College Athletic Training handbook. Cooperate with athletic trainers and the Head Coach to ensure student-athletes receive proper medical and physical training services. Maintain current CPR/First Aid certification. Collaborate with the Director of Athletics Communications to promote the Men's Volleyball program. Assist the Head Coach in organizing and executing community service events and initiatives. Assist the Head Coach in organizing and conducting practices and competitive events. Be prepared and organized to instruct student-athletes with sound principles and skills related to volleyball. Prepare student-athletes for games through technology presentations and on-court instruction. Assist the Head Coach in all parts of the game day experience. Including, but not limited to meals, travel coordination and film exchange. Maintain an understanding of how to use the technological resources available to student-athletes that are used to support practice and game preparation. Recruiting & Retention In compliance with NCAA DIII rules and regulations for men's volleyball, recruit student-athletes who meet Lycoming College's admissions requirements. Recruited student-athletes should possess the potential to contribute positively to the program and the entire student body. Discuss regularly with the Head Coach recruitment plans to successfully target student-athletes that meet specific program needs established by the coaching staff and college who have the potential to excel academically and athletically. Assist the Head Coach in creating, organizing, and maintaining recruiting information of prospective student-athletes. Assist in organizing and executing on-campus visits for prospective student athletes. Assist the Head Coach in monitoring the academic success of student-athletes through individual academic meetings to support the academic development of student-athletes through graduation. What are we looking for? Education and Experience: Bachelor's degree required; Collegiate playing and coaching experience preferred. Must obtain a driver's license with an approved driving record that passes our insurance criteria Knowledge and Skill Set Must have well-developed interpersonal skills. Be able to work independently with minimal oversight. Successful completion of ACT 153 Clearances and Motor Vehicle Record check with an active driver's license. Successful candidates will be self-motivated and possess the ability to recruit, teach and coach highly talented student athletes who can succeed in a challenging academic environment. Experience with using video breakdown, analysis, and analytics to improve team performance. What We Offer! Employee Perks: 15% discount at the campus bookstore, excluding textbooks and snacks. Reduced rates for meal packages for on-campus dining facilities Use of the campus recreations center and gym facilities for employees Use of the campus Library How do I Join the Warrior Team? Apply directly online by submitting your resume, cover letter, and the names and contact information for three professional references. Within the cover letter, please include a description of understanding of coaching in a liberal arts environment and meeting the needs of diverse student-athletes. Application review will begin immediately and will cease once the position has been filled. Post-offer criminal history background check, ACT 153 Clearances and motor vehicle record check will occur. Powered by JazzHR Compensation details: 10512.5-10512.5 Yearly Salary PI0e964bd7bd6b-7116

Federal Account Executive - USAF & Army

Cellebrite Title: Federal Account Executive - USAF & Army Location: Tysons, VA, US Cellebrites (Nasdaq: CLBT) mission is to enable its global customers to protect and save lives by enhancing digital investigations and intelligence gathering to accelerate justice in communities around the world. CellebritesAI-powered portfolioenables customers to lawfully access, collect, analyze and share digital evidence in legally sanctioned investigations while preserving data privacy. Thousands of public safety organizations, intelligence agencies and businesses rely on Cellebrites digital forensic and investigative solutionsavailable via cloud, on-premises and hybrid deploymentsto close cases faster and safeguard communities. To learn more, visit , and find us on social Position Overview : Cellebrite is seeking an experienced Federal Account Executive Defense & Intelligence to sell mobile forensics hardware and software solutions to law enforcement and investigative divisions within Air Force, National Guard and Army. Candidates should have a minimum of ten (10) years of on-quota outside sales experience in the defense market. The successful candidate will develop new prospects and interact with existing customers to increase sales of Cellebrites products, solutions and training services to key military agencies. Develop strategic account plans which define sales strategy to position Cellebrite to meet revenue objectives year over year. Direct efforts to identify new business, conduct competitive analysis and develop "win" strategies. Maintain and generate new contacts within the territory and associated system integrators to build a pipeline for sales. Working with decision makers at Defense Agencies, as well as enlisting Cellebrite executives during sales cycles. The focus of this opportunity is to continually position and sell Cellebrites Digital Intelligence solutions across Air Force, National Guard and Army Responsibilities: Plans, organizes, and leads sales growth, continued account penetration, especially within under penetrated accounts and maintains customer satisfaction on a long-term basis. Demonstrates advanced knowledge and practice of the federal sales cycle, procurement and contracting processes. Meets or exceeds sales order booking objectives. Builds and maintains a pipeline of business opportunities. Submits accurate and detailed weekly sales forecasts to sales management. Provides quotes and presents proposals to military customers and engages face-to-face meetings with key prospects, customers, and partners on a weekly basis. Drives sales engagement between select resellers, Cellebrite and end users within the defense market, while steering the teams to mutually beneficial customer successes. Develops, nurtures and maintains relationships with each agency and system integrators in the joint pursuit of selective business opportunities. Recommend new products and product modifications to assure customer satisfaction. Represents Cellebrite products and solutions at tradeshows, seminars and other demand-generation events. Exemplifies professionalism at all times and works to become a trusted advisor to customers and partners. Office Location: Greater Washington, DC Area Extensive experience and key contacts within Department of War, to include Army, National Guard and Air Force. Experience in selling forensics, cyber security, analytics, software products is a plus. BS/BA in Business, Engineering, Information Systems or Computer Science. Should have a solid understanding of government procurement, FARS, DFARS, federal contracts, regulations and procedures, and federal operations. Working knowledge and experience with Microsoft Office, Salesforce. Travel as required, both air and ground. This is a Remote position, candidates local to the VA/MD/DC area are preferred Active Clearance or ability to obtain a clearance is required Demonstrated creativity and ingenuity in developing successful strategies for business growth. Ability to develop a strategic sales account plan in conjunction with the overall corporate strategic plan. Demonstrated ability to communicate effectively orally and in writing with all levels of the organization and with external contacts. Ability to create and deliver powerful and effective presentations. Exhibits desirable and appropriate professional behavior including leadership, sense of urgency, independent judgment, teamwork, ability to get along with others, creative thinking and personal integrity to contribute to a cohesive, productive unit dedicated to the achievement of corporate goals. Cellebrite is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. PIa6cfad58bac4-4512

Superintendent

Superintendent SAN ANTONIO, TX Staff POSITION SUMMARY The Superintendent leads day-to-day field operations for civil construction projects with primary emphasis on roadway work, wet utilities, and dry utilities. This role is responsible for safe execution, quality control, production performance, and coordination across crews, inspectors, subcontractors, and project management. The Superintendent translates plans and specifications into executable work, drives schedule adherence, and ensures compliance with TxDOT, COSA, and project-specific requirements. This position directly supervises Foremen and crews and serves as the primary field authority for assigned projects. YOUR ROLE Oversees daily construction activities for roadway, drainage, water, wastewater, and dry utility installations. Interprets and enforces plans, specifications, and details related to grading, paving, curb, sidewalk, storm drain, water, sanitary sewer, duct banks, conduits, and related appurtenances. Verifies layout, line, grade, elevations, and ADA compliance in coordination with Survey. Plans and sequences work including excavation, trenching, paving, concrete placement, backfill, testing, and surface restoration. Resolves field conflicts involving utilities, tolerances, drainage, access, and constructability within delegated authority. Ensures QA/QC compliance including compaction, concrete finish, asphalt density, testing coordination, and final acceptance readiness. Directs means and methods for complex or high-risk operations such as deep trenching, traffic phasing, live utility work, night work, and accelerated schedules. Owns jobsite safety culture and enforces OSHA, COSA, TxDOT, and company safety standards. Conducts regular safety walks and audits focused on trench safety, traffic control, equipment operation, confined space, and excavation practices. Ensures all permits, inspections, and safety documentation are in place prior to work. Partners with Safety on incident investigations, corrective actions, and targeted retraining. Leads daily safety huddles and reinforces accountability at the Foreman and crew level. Directly supervises Foremen and oversees multiple crews as assigned. Sets daily and weekly production goals and adjusts manpower and equipment to protect schedule. Coordinates heavy equipment utilization including graders, excavators, loaders, rollers, pavers, and support equipment. Works with Fleet, Yard, and Procurement to ensure equipment readiness, material availability, and timely deliveries. Monitors material usage, inventory, and staging to minimize downtime and waste. Maintains accurate daily logs, quantities, redlines, production reports, and HCSS entries. Participates in weekly planning, L10s, and coordination meetings. Tracks progress against schedule and budget and communicates risks or constraints to Project Management and the General Superintendent. Implements standard work, lessons learned, and continuous improvement initiatives. Serves as the primary field contact for inspectors, agencies, and clients. Coordinates inspections, testing, and approvals for roadway and utility scopes. Attends preconstruction, progress, and final walkthrough meetings. Ensures jobsite professionalism including signage, traffic control, housekeeping, and public interface. Perform other duties as assigned. WHAT YOU BRING 7-10 years of progressive civil construction field experience, including Superintendent or senior Foreman leadership. Strong technical expertise in roadway construction, wet utilities (water, sanitary sewer, storm drain), and dry utilities. Proven knowledge of TxDOT and COSA specifications, ADA requirements, and civil QA/QC standards. OSHA 30 preferred; excavation/trenching competent person preferred. Proficiency with iPad-based field tools and HCSS for time, quantities, and documentation. Strong leadership, communication, and problem-solving skills. Valid driver's license; ability to work nights or weekends as required by project phasing. High school diploma or equivalent required; construction management or related coursework preferred. PHYSICAL REQUIREMENTS This role is performed primarily in active construction environments and requires frequent walking, standing, and navigation of uneven terrain. The employee must occasionally climb, bend, and lift materials or tools up to 50 pounds. Ability to see, hear, and communicate effectively in high-noise environments is required. Daily use of PPE is mandatory. Exposure to weather, dust, traffic, and extended work hours is expected. BENEFITS Competitive medical, dental, and vision coverage Company-paid basic dental, life insurance, and short- and long-term disability Voluntary benefits including life, accident, critical illness, and pet insurance 401(k) retirement plan Quarterly bonus program Paid Time Off (PTO), paid holidays, and paid winter company break (eligible roles) Employee Assistance Program (EAP) and wellness resources Tuition reimbursement and continuing education support Scholarship program for dependents of eligible employees Company events, community engagement opportunities, and quarterly State of the Company meetings E-Z Bel Construction, LLC is an equal opportunity employer. We encourage all qualified individuals to apply, regardless of race, color, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or veteran status. E-Z Bel Construction, LLC participates in E-Verify, a federal system that allows enrolled employers to confirm the employment eligibility of newly hired employees. PIa792af5-

Delivery Driver - Sign Up and Start Earning

*Why Deliver with DoorDash?* DoorDash is the 1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day. As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you. Being a Dasher with DoorDash gives you the flexibility to earn extra cash on your terms. * *Multiple ways to earn:*Whether you’re delivering meals, groceries, or retail orders, DoorDash offers diverse earning opportunities so you can maximize your time. * *Total flexibility:*Dash when it works for you. Set your own hours and work as much—or as little—as you want. * *Know how much you'll make:*Clear and concise pay model lets you know the minimum amount you will make before accepting any offer. * *Instant cash flow:*Get paid the same day you dash with DoorDash Crimson*. No deposit fees, no waiting. * *Quick and easy start:*Sign up in minutes and get on the road fast. * *Simple Process:*Just pick up, drop off, and cash out. Payday is in your back pocket. *Basic Requirements* * 18 years old (21 to deliver alcohol) * Any car, scooter, or bicycle (in select cities) * Driver's license number * Social security number (only in the US) * Consistent access to a smartphone *How to Sign Up* * Click “Sign Up Now” and complete the sign up process * Download the DoorDash Dasher app and go *Subject to eligibility requirements and successful ID verification. The DoorDash Crimson Deposit Account is established by Starion Bank, Member FDIC. The DoorDash Crimson Visa® Debit Card is issued by Starion Bank. Subject to eligibility Must be 19 in Arizona, California, Colorado, Delaware, Florida, Georgia, Idaho, Kentucky, Montana, New Jersey, New Mexico, Texas, Utah, and West Virginia *Additional information* Dashing with DoorDash is a great earnings opportunity for anyone looking for part-time, seasonal, flexible, weekend, after-school, temporary, steady delivery gig. Deliver with DoorDash and earn extra cash while being your own boss. Dash when it works for you. Sign up today.614ebcce-2988-4a21-9a10-1fc0c5beffbb

Delivery Driver - Sign Up and Start Earning

*Why Deliver with DoorDash?* DoorDash is the 1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day. As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you. Being a Dasher with DoorDash gives you the flexibility to earn extra cash on your terms. * *Multiple ways to earn:*Whether you’re delivering meals, groceries, or retail orders, DoorDash offers diverse earning opportunities so you can maximize your time. * *Total flexibility:*Dash when it works for you. Set your own hours and work as much—or as little—as you want. * *Know how much you'll make:*Clear and concise pay model lets you know the minimum amount you will make before accepting any offer. * *Instant cash flow:*Get paid the same day you dash with DoorDash Crimson*. No deposit fees, no waiting. * *Quick and easy start:*Sign up in minutes and get on the road fast. * *Simple Process:*Just pick up, drop off, and cash out. Payday is in your back pocket. *Basic Requirements* * 18 years old (21 to deliver alcohol) * Any car, scooter, or bicycle (in select cities) * Driver's license number * Social security number (only in the US) * Consistent access to a smartphone *How to Sign Up* * Click “Sign Up Now” and complete the sign up process * Download the DoorDash Dasher app and go *Subject to eligibility requirements and successful ID verification. The DoorDash Crimson Deposit Account is established by Starion Bank, Member FDIC. The DoorDash Crimson Visa® Debit Card is issued by Starion Bank. Subject to eligibility Must be 19 in Arizona, California, Colorado, Delaware, Florida, Georgia, Idaho, Kentucky, Montana, New Jersey, New Mexico, Texas, Utah, and West Virginia *Additional information* Dashing with DoorDash is a great earnings opportunity for anyone looking for part-time, seasonal, flexible, weekend, after-school, temporary, steady delivery gig. Deliver with DoorDash and earn extra cash while being your own boss. Dash when it works for you. Sign up today.614ebcce-2988-4a21-9a10-1fc0c5beffbb