Automobile

Registered Nurse (RN) Operating Room - VHAS (PT 0630-1900)

Previous OR / Scrub & Circulate experience required Minimum 1-2 years prior multi-specialty OR experience required Summary: Responsible for assessing, diagnosing, planning, implementing, and evaluating patient care through outcome identification and evidence-based practice. As an integral member of the health care team, coordinates patient care and communicates and collaborates extensively with the other members of the healthcare team, patients and/or patient's family or significant other(s). Maintains and demonstrates high standards of professional ethics. Position Responsibilities: • Performs an assessment of the patient, leading to development, implementation and evaluation of a plan of care. • Administers, monitors and documents therapeutic interventions and regimes. • Effectively manages rapidly changing situations. • Participates in clinical decision-making. • Educates patient and family/responsible party regarding disease process, individual care needs, wellness, safety issues, etc. • Delegates and monitors care rendered by other members of nursing department and healthcare team. • Demonstrates standard precautions and patient safety principles in practice. • Participates in orientation, education and development of healthcare team. • Identifies and participates in the performance improvement activities. • Maintains professional and departmental level competencies. Position Qualifications Required / Experience Required: Must have valid NJ RN License. Approved licenses must be presented and maintained in accordance with the State of New Jersey licensing board. Refer to the Educational/Regulatory Requirement (Department Specific) policy in the Nursing Administrative Manual. Demonstrates knowledge of nursing skills, hospital practices, procedures and standards. Perfects skills and stays abreast of current nursing practice through on-going education, journals, etc. Must have strong communication skills. Must be able to coordinate efforts of a team of care providers. RD_N

  • Stratford, NJ

  • no content

Registered Nurse (RN) L&D (PT 7p)

Previous L&D experience preferred Previous MCH/OB experience required Summary: Responsible for assessing, diagnosing, planning, implementing, and evaluating patient care through outcome identification and evidence-based practice. As an integral member of the health care team, coordinates patient care and communicates and collaborates extensively with the other members of the healthcare team, patients and/or patient's family or significant other(s). Maintains and demonstrates high standards of professional ethics. Position Responsibilities: • Performs an assessment of the patient, leading to development, implementation and evaluation of a plan of care. • Administers, monitors and documents therapeutic interventions and regimes. • Effectively manages rapidly changing situations. • Participates in clinical decision-making. • Educates patient and family/responsible party regarding disease process, individual care needs, wellness, safety issues, etc. • Delegates and monitors care rendered by other members of nursing department and healthcare team. • Demonstrates standard precautions and patient safety principles in practice. • Participates in orientation, education and development of healthcare team. • Identifies and participates in the performance improvement activities. • Maintains professional and departmental level competencies. Position Qualifications Required / Experience Required: Must have valid NJ RN License. Approved licenses must be presented and maintained in accordance with the State of New Jersey licensing board. Refer to the Educational/Regulatory Requirement (Department Specific) policy in the Nursing Administrative Manual. Demonstrates knowledge of nursing skills, hospital practices, procedures and standards. Perfects skills and stays abreast of current nursing practice through on-going education, journals, etc. Must have strong communication skills. Must be able to coordinate efforts of a team of care providers. RD_N

  • Stratford, NJ

  • no content

Registered Nurse (RN) L&D (PT 7p)

Previous L&D experience preferred Previous MCH/OB experience required Summary: Responsible for assessing, diagnosing, planning, implementing, and evaluating patient care through outcome identification and evidence-based practice. As an integral member of the health care team, coordinates patient care and communicates and collaborates extensively with the other members of the healthcare team, patients and/or patient's family or significant other(s). Maintains and demonstrates high standards of professional ethics. Position Responsibilities: • Performs an assessment of the patient, leading to development, implementation and evaluation of a plan of care. • Administers, monitors and documents therapeutic interventions and regimes. • Effectively manages rapidly changing situations. • Participates in clinical decision-making. • Educates patient and family/responsible party regarding disease process, individual care needs, wellness, safety issues, etc. • Delegates and monitors care rendered by other members of nursing department and healthcare team. • Demonstrates standard precautions and patient safety principles in practice. • Participates in orientation, education and development of healthcare team. • Identifies and participates in the performance improvement activities. • Maintains professional and departmental level competencies. Position Qualifications Required / Experience Required: Must have valid NJ RN License. Approved licenses must be presented and maintained in accordance with the State of New Jersey licensing board. Refer to the Educational/Regulatory Requirement (Department Specific) policy in the Nursing Administrative Manual. Demonstrates knowledge of nursing skills, hospital practices, procedures and standards. Perfects skills and stays abreast of current nursing practice through on-going education, journals, etc. Must have strong communication skills. Must be able to coordinate efforts of a team of care providers. RD_N

  • Pitman, NJ

  • no content

Machine Learning Engineer 4

Machine Learning Engineer 4 Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. 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 or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 3 years of experience optimizing ML algorithms, configurations, and infrastructure 3 years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 3 years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans. 3 years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 3 years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models. 1 years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). 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: $197,300 - $225,100 for Machine Learning Engineer 4 McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 San Francisco, CA: $215,200 - $245,600 for Machine Learning Engineer 4 San Jose, CA: $215,200 - $245,600 for Machine Learning Engineer 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).

  • Pimmit, VA

  • no content

Senior Logistics Specialist- Allegiant Seed

CHS Inc. is a leading global agribusiness owned by farmers, ranchers and cooperatives across the United States that provides grain, food and energy resources to businesses and consumers around the world. We serve agriculture customers and consumers across the United States and around the world. Most of our employees are in the United States, but today we have employees in 19 countries. At CHS, we are creating connections to empower agriculture. Summary CHS, Inc. is hiring for a Senior Logistics Specialist to join our CHS is looking for a Logistics Senior Specialist to join our Allegiant Seed team. The successful candidate will help oversee seed operations and logistics for our Allegiant seed brand. The ideal candidate will be a driven problem solver who is detail oriented with strong quantitative skills while delivering excellent customer service. This is a remote position, with a preference for candidates located within approximately 50 miles of CHS global headquarters in Inver Grove Heights, Minnesota, to support periodic in-person collaboration, team meetings, and business needs. Responsibilities Coordinate and plan with seed production managers for timely supply, shipment scheduling, and communicating deliveries with our customers Load creation and monitoring seed shipments in seed logistics tracking systems. Identify and resolve any trucking delays or issues with customers and suppliers Work independently, manage freight negotiations and communicate with freight team on day-to-day logistical activities, expedite the transportation of products, troubleshooting as needed Research, establish and maintain routing and dispatch execution, route optimization, cost containment, and minimization of out-of-route and empty miles. Maintain excellent customer service by providing support to business units and other key stakeholders within our order tracking, sales, logistics and inventory management systems Develop and maintain strategic carrier relationships aiding in effective management of logistical costs Seed quality assurance; monitoring and working with suppliers through seed production contract completion Maintain appropriate records and prepare reports throughout the shipping season and year-end activities Act as the communication liaison between client plants, terminal storage facilities, internal sales/marketing, and customers to efficiently and economically meet product sales/delivery execution goals Maintain and promote a strong safety culture and follow all safety policies, procedures and regulations. Identify and communicate workplace hazards and correct or seek assistance in correcting unsafe actions or conditions Perform other seed operational responsibilities as needed or assigned Minimum Qualifications (required) High School diploma or GED 4 years of experience in Supply Chain and Procurement and/or Transportation and Logistics Additional Qualifications Knowledge of the seed industry & quality practices In-depth understanding of standard shipping practices of bulk and packaged seed Proficient in MS Office suite Demonstrated ability to build and maintain strong working relationships Excellent communication skills, both written and verbal Experience working with logistics tools and ERP systems Bachelor's degree preferred in Business, Economics, Manufacturing, Logistics, Operations Management, Supply Chain Management, Statistics or related field Pre-employment screening is based on the job requirements and industry guidelines and may or may not be required for the position. If required, selected candidates must pass pre-employment screenings to include all or a combination of drug, criminal, motor vehicle check, physical requirements and FMCSA Clearinghouse. CHS offers a competitive total rewards package. Compensation includes base wage and, depending upon position, may include other earnings such as bonus, incentives and commissions. Actual pay offered will vary based on multiple factors which may include, without limitation, experience, education, training, specialized skills and certifications, minimum wage/salary requirements under local law. Benefits include medical, dental, vision, wellness programs, life insurance, health and dependent care spending accounts, paid time off, 401(k), pension, profit sharing, short- and long-term disability, tuition reimbursement and adoption assistance, subject to the eligibility requirements for each benefit plan. CHS is an Equal Opportunity Employer/Veterans/Disability. Please note that any communication from a CHS recruiter would be sent using a chsinc.com email address. In addition, a CHS recruiter will not ask for confidential information over the phone or in an email, or request money from a candidate involved in an offer process. If you have questions regarding an employment opportunity, please reach out to [email protected]; to verify that the communication is from CHS.

  • Inver Grove Heights, MN

  • no content

Registered Nurse (RN) Labor and Delivery (FT 7p)

Previous L&D/ OB experience required Job Summary: Responsible for assessing, diagnosing, planning, implementing, and evaluating patient care through outcome identification and evidence-based practice. As an integral member of the health care team, coordinates patient care and communicates and collaborates extensively with the other members of the healthcare team, patients and/or patient’s family or significant other(s). Maintains and demonstrates high standards of professional ethics. Position Responsibilities Performs an assessment of the patient, leading to development, implementation and evaluation of a plan of care. Administers, monitors and documents therapeutic interventions and regimes. Effectively manages rapidly changing situations. Participates in clinical decision-making. Educates patient and family/responsible party regarding disease process, individual care needs, wellness, safety issues, etc. Delegates and monitors care rendered by other members of nursing department and healthcare team. Demonstrates standard precautions and patient safety principles in practice. Participates in orientation, education and development of healthcare team. Identifies and participates in performance improvement activities. Maintains professional and departmental level competencies. Position Qualifications Required: Required Experience: Demonstrates knowledge of nursing skills, hospital practices, procedures and standards. Perfects skills and stays abreast of current nursing practice through on-going education, journals, etc. Must have strong communication skills. Must be able to coordinate efforts of a team of care providers. Training / Certification / Licensure: Must have valid NJ RN License. Approved licenses must be presented and maintained in accordance with the State of New Jersey Licensing Board. Refer to the Educational/Regulatory Requirement (Department Specific) policy in the Nursing Administrative Manual. RD_N

  • Magnolia, NJ

  • no content

Occupational Therapist

Occupational Therapist (OT) Pediatric Home Health Territory: East Austin/Manor, TX Pay: $95,160 - $112,320 Availability: Full-Time/Part-time Eligible candidates may qualify for a $6,000 sign-on bonus* as part of their total compensation package. Bonus eligibility and payout structure will be shared early in the interview process. A Role Designed Around You At Care Options for Kids, we've built a home health OT role around what occupational therapists value most: flexibility, manageable caseloads, and the freedom to support children's sensory needs, daily routines, and independence through meaningful, individualized care. This position allows you to focus on impactful pediatric therapy without excessive documentation, long drive times, or unrealistic expectations. In this role, you'll provide pediatric occupational therapy in home-based settings, collaborate closely with families and care teams, and support functional, real-world outcomes using efficient, point-of- care documentation tools. If you're an OT looking for a sustainable role that fits real life, this position was designed with you in mind. Care Options for Kids Benefits Weekly Pay and Direct Deposit Medical, Dental, and Vision Insurance Weekly Pay and Direct Deposit Medical, Dental, and Vision Insurance Life, LTD, and STD Coverage Supplemental Insurance Options 401(k) Retirement Plan Paid Time Off (PTO) Continuing Education through an Online Learning Portal Industry-leading Training and Professional Development Employee Referral Bonus Opportunities Provide home based services in condensed geographic zone Support That Expands Your Impact Opportunities to participate in COFK's Global Outreach Program, providing therapy services to underserved children abroad, with travel and participation costs covered by Care Options for Kids A top-tier EHR designed to streamline documentation and reduce administrative burden Access to clinical leadership when you need guidance, collaboration, and support in the field Requirements Master's degree in Occupational Therapy from an accredited program Active Occupational Therapy License in State of Practice Active Certification from the NBCOT Current BLS/CPR certification Reliable transportation and a valid driver's license RDTHATXT Care Options for Kids is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. *Restrictions Apply. Connect with your Talent Acquisition Specialist for more details. Care Options for Kids is proud to be an Equal Opportunity Employer. We celebrate diversity and do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, status as a protected veteran, status as an individual with a disability, or any other status protected under federal, state, or local law. Salary: $95160.00 - $112320.00 / year

  • Gregg, TX

  • no content

Paramedic Mobile Integrated Health - FT Nights

$5000 SIGN-ON BONUS! Job Summary: Performs scheduled in-home clinical care and post-discharge follow-up as part of the Mobile Integrated Healthcare (MIH) program. Performs home safety inspection, patient assessment, medication reconciliation, point-of-care testing, telehealth facilitation, and equipment setup to support safe transition of care and reduce readmissions. Position Responsibilities: Conducts comprehensive in-home patient assessments, medication reconciliation, and administers treatments within the paramedic scope of practice. Identifies clinical changes and documents plan of care. Completes accurate clinical documentation in the EMR/ePCR. Responds to quality assurance and medical oversight requests. Facilitates telehealth visits with providers, sets up and manages remote monitoring devices, and communicates findings to the interdisciplinary care team. Maintains MIH vehicles, durable medical equipment, and supply inventory; ensures infection control and equipment cleaning after each visit. Performs point-of-care testing and specimen collection (phlebotomy) per protocol and coordinates specimen transport/processing. Participates in patient/caregiver education, community outreach, and program improvement activities; cross-trains with hospital-at-home staff. Position Qualifications Required: Required Experience: Current NJ Paramedic certification: minimum 1 year field experience as an active paramedic required. Prior MIH, hospital-at-home, home health, or chronic care management experience or experience with telehealth/remote monitoring platforms preferred. Required Education: High school diploma or GED. Graduate of a recognized Paramedic Training Program. Training / Certification / Licensure: Current New Jersey paramedic certification issued by the NJ Department of Health Current BLS CPR certification (American Heart Association or equivalent). Current American Heart Association Advanced Cardiac Life Support (ACLS) certification. Current American Heart Association Pediatric Advanced Cardiac Life Support (PALS) or American Academy of Pediatrics PEPP certification. Emergency Vehicle Operator Course (EVOC) certification. Valid driver’s license recognized by the State of New Jersey; driving record must meet insurance company standards. Must complete annual clinical competencies, Fit Test, PPD screening, AMOC training, and any other required training by designated deadlines. Required MIH/telehealth training: competency with telemedicine platforms, remote monitoring device setup, and documentation in the EMR RD_P1

  • Maple Shade, NJ

  • no content

AI Engineer 4 (Vision model (VLM) customization experience)

AI Engineer 4 (Vision model (VLM) customization experience) 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. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation 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 4 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 2 years of experience developing AI and ML algorithms or technologies At least 4 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 6 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 AI services 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 Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms 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: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 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).

  • Pimmit, VA

  • no content

Physical Therapist (PT)

Physical Therapist (PT) Pediatric Home Health Territory: Irving, TX Pay: $98,280 - $115,440 Part-time - Full-time A Role Designed Around You At Care Options for Kids, we've built a home health PT role around what physical therapists value most: flexibility, manageable caseloads, and the ability to focus on movement, mobility, and functional progress that truly changes a child's daily life. This position allows you to deliver meaningful pediatric therapy without excessive documentation, long drive times, or unrealistic expectations. In this role, you'll provide pediatric physical therapy in home-based settings, partner closely with families and care teams, and support strength, mobility, and confidence using efficient, point-of-care documentation tools. If you're a PT looking for a sustainable role that supports both your clinical expertise and your life outside of work, this position was designed with you in mind. Care Options for Kids Benefits Weekly Pay and Direct Deposit Medical, Dental, and Vision Insurance Life, LTD, and STD Coverage Supplemental Insurance Options 401(k) Retirement Plan Paid Time Off (PTO) Continuing education through an online learning portal Industry-leading training and professional development Employee Referral Bonus Opportunities Support That Expands Your Impact Opportunities to participate in COFK's Global Outreach Program, providing therapy services to underserved children abroad, with travel and participation costs covered by Care Options for Kids A top-tier EHR designed to streamline documentation and reduce administrative burden Access to clinical leadership when you need guidance, collaboration, and support in the field Requirements Doctorate in Physical Therapy (DPT) from an accredited program Meets qualifications as established by APTA Active Physical Therapy License in State of Practice Current BLS/CPR certification Reliable transportation and a valid driver's license Care Options for Kids is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. *Restrictions Apply. Connect with your Talent Acquisition Specialist for more details. RDTHDAL Care Options for Kids is proud to be an Equal Opportunity Employer. We celebrate diversity and do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, status as a protected veteran, status as an individual with a disability, or any other status protected under federal, state, or local law. Salary: $98280.00 - $115440.00 / year

  • Irving, TX

  • no content

Senior Staff Machine Learning Engineer

Senior Staff Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You’ll Do: Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems Lead large-scale ML initiatives with the customer in mind Leverage cloud-based architectures and technologies to deliver optimized ML models at scale Optimize data pipelines to feed ML models Use programming languages like Python, Scala, Java, and GoLang Leverage compute technologies such as Dask and RAPIDS Evangelize best practices in all aspects of the engineering and modeling lifecycles Help recruit, nurture, and retain top engineering talent Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 10 years of experience programming with Python, Java, Golang, or C++ At least 8 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 8 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 8 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5 years of experience architecting and designing resilient, large-scale, production machine learning systems from data preparation, to model training, and inference. 7 years of experience optimizing ML algorithms, configurations, and infrastructure 7 years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 9 years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models. Experience shaping long term cross-organizational machine learning strategy Ability to communicate complex technical concepts clearly to executive leadership Recognized leader in the ML industry through conference presentations, papers, blog posts, open source contributions or patents Experience developing high-performing ML engineers with an inspiring leadership style 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: $314,800 - $359,300 for Sr. Staff Machine Learning Engineer Plano, TX: $286,200 - $326,700 for Sr. Staff 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).

  • Pimmit, VA

  • no content

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).

  • Pimmit, VA

  • no content