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AI Engineer 5 (AI Foundations, VLM Customization)

AI Engineer 5 (AI Foundations, VLM Customization) 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

Physical Therapist, Outpatient Rehab - (Per Diem), Multiple Locations!

Physical Therapists: Love Where You Work. Grow Where You're Supported. Virtua Physical Therapy & Rehabilitation is hiring Full-Time and Per Diem Physical Therapists across our 30 outpatient locations in South Jersey. Whether you're just starting your career or looking for your next opportunity, Virtua offers the support, flexibility, and growth opportunities to help you succeed. You'll be part of a team of 200 rehab professionals who are passionate about delivering exceptional care and helping each other grow. Why PTs choose Virtua: ⭐ Career growth through education, specialty training, mentorship, and promotion opportunities ⭐ Flexible scheduling and a healthy work-life balance ⭐ Competitive benefits, sign-on bonus opportunities, and PSLF eligibility ⭐ A collaborative, team-first culture where your voice is heard ⭐ Opportunities to explore different settings, including outpatient, acute care, home care, Hospital at Home, Early Intervention, and school-based programs At Virtua, you'll have the chance to build the career you want while helping patients get back to doing what they love. Come grow with us. Explore Physical Therapy opportunities at Virtua today. Summary: Provides physical therapy examination and evaluation to determine prognosis, provide intervention, and update plan of care. Assists manager/supervisor with clinical and operational issues. Works with manager to improve processes and utilization of rehab services. Position Responsibilities: • Consults with medical, ancillary professionals and other team members/supervisors to provide optimum quality patient care and effective operations. • Demonstrates comprehensive evaluation skills and interventions. This includes evaluating the effectiveness of interventions and modification of plan of care as appropriate. • Maintains and completes evaluations, patient records, reports and all written documentation effectively and in a timely manner, in accordance with regulatory and department guidelines. • Effectively utilizes PTAs, aides and other support staff as appropriate. • Effectively communicates with patient and/or family/significant other in providing education and literature in accordance with the patient’s age, physical condition and cultural needs. Required Education: Minimum of Bachelor’s degree in Physical Therapy form a program accredited by the APTA. Training/Certifications/Licensure: Current licensure in the State of New Jersey. CPR certification. For home care and early intervention staff, a valid driver’s license, current automobile registration and proof of insurance. RD_P1

  • Lindenwold, NJ

  • no content

Physical Therapist (PT), Acute Care - (Per diem)

Summary: Provides physical therapy examination and evaluation to determine prognosis, provide intervention, and update plan of care. Assists manager/supervisor with clinical and operational issues. Works with manager to improve processes and utilization of rehab services. Position Responsibilities: • Consults with medical, ancillary professionals and other team members/supervisors to provide optimum quality patient care and effective operations. • Demonstrates comprehensive evaluation skills and interventions. This includes evaluating the effectiveness of interventions and modification of plan of care as appropriate. • Maintains and completes evaluations, patient records, reports and all written documentation effectively and in a timely manner, in accordance with regulatory and department guidelines. • Effectively utilizes PTAs, aides and other support staff as appropriate. • Effectively communicates with patient and/or family/significant other in providing education and literature in accordance with the patient’s age, physical condition and cultural needs. Required Education: Minimum of Bachelor’s degree in Physical Therapy form a program accredited by the APTA. Training/Certifications/Licensure: Current licensure in the State of New Jersey. CPR certification. For home care and early intervention staff, a valid driver’s license, current automobile registration and proof of insurance. RD_P1

  • South Camden, NJ

  • no content

Physical Therapist (PT), Outpatient Rehab - Full Time (40hrs/week), Lindenwold

Physical Therapists: Love Where You Work. Grow Where You're Supported. Virtua Physical Therapy & Rehabilitation is hiring Full-Time and Per Diem Physical Therapists across our 30 outpatient locations in South Jersey. Whether you're just starting your career or looking for your next opportunity, Virtua offers the support, flexibility, and growth opportunities to help you succeed. You'll be part of a team of 200 rehab professionals who are passionate about delivering exceptional care and helping each other grow. Why PTs choose Virtua ⭐ Career growth through education, specialty training, mentorship, and promotion opportunities ⭐ Flexible scheduling and a healthy work-life balance ⭐ Competitive benefits, sign-on bonus opportunities, and PSLF eligibility ⭐ A collaborative, team-first culture where your voice is heard ⭐ Opportunities to explore different settings, including outpatient, acute care, home care, Hospital at Home, Early Intervention, and school-based programs At Virtua, you'll have the chance to build the career you want while helping patients get back to doing what they love. Come grow with us. Explore Physical Therapy opportunities at Virtua today. Summary: Provides physical therapy examination and evaluation to determine prognosis, provide intervention, and update plan of care. Assists manager/supervisor with clinical and operational issues. Works with manager to improve processes and utilization of rehab services. Position Responsibilities: • Consults with medical, ancillary professionals and other team members/supervisors to provide optimum quality patient care and effective operations. • Demonstrates comprehensive evaluation skills and interventions. This includes evaluating the effectiveness of interventions and modification of plan of care as appropriate. • Maintains and completes evaluations, patient records, reports and all written documentation effectively and in a timely manner, in accordance with regulatory and department guidelines. • Effectively utilizes PTAs, aides and other support staff as appropriate. • Effectively communicates with patient and/or family/significant other in providing education and literature in accordance with the patient’s age, physical condition and cultural needs. Required Education: Minimum of Bachelor’s degree in Physical Therapy. Training/Certifications/Licensure: Current licensure in the State of New Jersey. CPR certification. For home care and early intervention staff, a valid driver’s license, current automobile registration and proof of insurance. RD_P1

  • Lindenwold, NJ

  • no content

Pharmacist - $50,000 Sign-On Bonus

Job Summary: Provides empathetic pharmacy consulting services to patients regarding the effective use of medications and drug interaction awareness. Offers preventive and clinical healthcare services, including immunizations, diagnostic testing, and patient outcome services. Ensures prescribed medications are compounded, reviewed, dispensed, and verified accurately according to regulatory guidelines and company policies and procedures. Manages an efficient pharmacy workflow and improves pharmacy financials, manages inventory effectively, and enhances patient experience. Manages pharmacy staff performance and engagement. Ensures the professional development of pharmacy staff by overseeing training, focused coaching, and executing formal performance management initiatives. Job Responsibilities: Patient Experience Engages patients by greeting them and offering assistance with products and services. Resolves patient issues in a timely manner and answers questions to ensure a positive patient experience. Models and shares customer service best practices with all team members to deliver a distinctive and joyful patient experience, including interpersonal habits that show care (e.g., greeting, eye contact, courtesy, etc.) and Walgreens service traits (e.g., demonstrating curiosity to identify needs and proactively helping, servicing until satisfied, championing empathy and inclusivity, etc.). Connects with patients by anticipating needs and proactively offering services. Leads efforts on enhancing patient experience by increasing awareness of healthcare services offered through Walgreens (e.g. patient consultation, medication management, drug therapy reviews, and perform clinical, or wellness services such as immunizations, diagnostic testing, and patient outcomes services) thereby promoting the shift of the Walgreen’s pharmacy role from transactional to interpersonal. Participates and assists in events that reflect the unique communities we serve as requested by Store Manager, Healthcare Supervisor, or District Manager. Operations Counsels patients and answers questions regarding usage of medicine, side effects, interactions, contraindications, patient information privacy, generics, less expensive medicines, and over-the-counter products. Refers to the medical provider, as needed, to ensure medication is taken correctly, health needs are addressed, and patient is satisfied with service. Performs pharmacist tasks including compounding, drug therapy reviews, verification, and medication management. Reviews, interprets, and accurately dispenses prescribed medications, as required. Ensures the pharmacy operates in accordance with regulations, company policies and standards. Establishes procedures that promote the efficient workflow of the pharmacy including overseeing staff scheduling, assigning roles, coordinating activities, and soliciting team member suggestions. Responsible for opening and closing the pharmacy and shift changes. Ensures the use of all elements of the Good Faith Dispensing policy in conjunction with state and federal controlled substance laws when filling prescriptions. The Product Review/Retail Fill Process Pharmacist is responsible for ensuring that elements of Good Faith are present. Collaborates with Store Manager to define and develop new strategic business opportunities. Maintains information technology knowledge of pharmacy systems including workflow, prescription fulfillment, billing, clinical documentation, training, inventory management, and point of sale registers. Supports pharmacy staff and patients with information technology. Finds opportunities to improve productivity Ensures insurance claims are processed accurately to prevent payment rejections. Resolves patient issues by working with insurance companies and medical providers and conducting or participating in third party audits. Follows-up with medical providers to clarify prescribed medications, dosages, refills, interactions, and allergies to suggest alternative medications, and answer medical provider questions. diagnostic testing, disease state management and other healthcare services. Performs clinical and wellness services such as immunizations, diagnostic testing, disease state management, and other healthcare services Partners with centralized support for patient registration, exception resolution, and assists with resolving patient issues. In virtual environments, conducts virtual product review by following specific company procedures and guidelines Manages the maintenance, housekeeping, and improvement of the pharmacy department including repairs, cleaning, new equipment, and layout changes to ensure a functioning, presentable and efficient pharmacy. Prepares and submits all records, reports, and other documentation as required by state and federal laws to run the pharmacy business (e.g., operating statements, performance indicator reports, supervision notes, deletions, transfers.) People & Performance Management Collaborates with Store Manager on pharmacy staff hiring, carries out discipline and termination, as necessary, and ensures compliance with employment laws. Partners with Store Manager to establish expectations and goals, promote teamwork and foster a shared vision. Monitors and recognizes improvements in pharmacy staff by implementing rewards programs. Manages pharmacy staff performance by overseeing the training of pharmacy staff (e.g., using the correct processes and tools) and conducting formal performance reviews. Identifies high potential team members and proactively collaborates with Store Manager to manage career progression. Addresses employee relations concerns. Maintains team member morale by checking on employee welfare, addressing complaints and conflicts, and ensuring positive employee management relationship. Training & Personal Development Maintains required licensing/credentialing/certification as established by federal and state regulations to provide clinical services. Maintains and enhances current knowledge and skills related to pharmacy and healthcare by reading pharmacy related journals and Walgreens publications and communications. Maintains awareness of developments in retail and management areas and pursues best practices to enhance business acumen and pharmacy performance. Completes education credits and training, including learning modules, as required by the Company Seeks professional development by monitoring own performance, solicits constructive feedback, and leverages Healthcare Supervisor and Store Manager as mentors and coaches. Communications Supports the Store Manager by communicating relevant corporate health and wellness services or strategy information to pharmacy staff. Business Performance Management Analyzes performance data including pharmacy financials, customer service, and inventory. Manages pharmacy asset protection activities and oversees inventory management. Identifies pharmacy performance trends and opportunities for improvement. Business Planning Develops and maintains good relationships with local medical community including physicians, nurses, and other health care providers. Reaches out to the community to promote the pharmacy business and further enhance growth opportunities. Supports Store Manager in expanding health and wellness awareness in the community Basic Qualifications BS in Pharmacy or Pharm D Degree from an accredited educational institution. Current pharmacist licensure in the states within the district. Certified Immunizer or willing to become an immunizer within 90 days of hire. At least 1 year pharmacy experience including prescription filling, recordkeeping, legal compliance, pharmacy operations, pharmacy software and technology systems and insurance billing. (Some states may require more specific pharmacy experience in which case those requirements would take precedent). Experience performing prescription dispensing activities that demonstrate a strong working knowledge of applicable state and federal controlled substance laws. An average rating of at least 3.0 on the leadership behaviors on the last performance review if one is on file, and no written disciplinary actions in the last 12 months (Internal candidates only). About Walgreens Founded in 1901, Walgreens (www.walgreens.com) proudly serves nearly 9 million customers and patients each day across its approximately 8,500 stores throughout the U.S. and Puerto Rico. Walgreens has approximately 220,000 team members, including nearly 90,000 healthcare service providers, and is committed to being the first choice for pharmacy, retail and health services, building trusted relationships that create healthier futures for customers, patients, team members and communities. Preferred Qualifications Supervisory experience planning, organizing, and directing the work of pharmacy staff. At least 6 months pharmacy experience with Walgreen Co. An average rating of 3.7 or above on the leadership behaviors on the last performance review if one is on file. (Internal candidates only) An Equal Opportunity Employer, including disability/veterans We will consider employment of qualified applicants with arrest and conviction records. The Salary below is being provided to promote pay transparency and equal employment opportunities at Walgreens. The actual salary within this range that you will be offered will depend on a variety of factors including geography, skills and abilities, education, experience and other relevant factors. This role will remain open until filled. To review benefits, please click here jobs.walgreens.com/benefits. If you are applying on a job board or unable to click on the link, please copy and paste this URL into your browser jobs.walgreens.com/benefits Salary Range: Pharmacy Manager - $67.05/hr - $90.55/hr

  • Windsor Locks, CT

  • no content

Director, AI Engineer (Remote Eligible)

Director, AI Engineer (Remote Eligible) 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. Capital One is open to hiring a Remote Employee for this opportunity. 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 the enterprise AI strategy into portfolio-level execution plans across multiple product areas, balancing innovation with delivery discipline Scale AI engineering practices across teams through shared infrastructure, reusable components, and unified observability and governance frameworks Establish enterprise standard for Responsible AI, including fairness metrics, model evaluation protocols, documentation requirements, and audit readiness Partner with research, compliance, and enterprise risk teams to ensure deployed systems meet emerging ethical and regulatory standards 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 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies At least 3 years of people leadership experience Preferred Qualifications: 5 years of experience managing and leading an engineering team 7 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 building and leading multi-team AI organization delivering multiple enterprise products or capabilities concurrently Proven ability to expand and execute long-term AI platform strategies aligned to enterprise priorities and regulatory frameworks Experience establishing cross-functional operating rhythms and review cadences (OKRs, AI governance councils, quarterly reviews) 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. Remote (Regardless of Location): $244,700 - $279,200 for Director, AI Engineer Cambridge, MA: $269,100 - $307,200 for Director, AI Engineer McLean, VA: $269,100 - $307,200 for Director, AI Engineer New York, NY: $293,600 - $335,100 for Director, AI Engineer Richmond, VA: $244,700 - $279,200 for Director, AI Engineer San Francisco, CA: $293,600 - $335,100 for Director, AI Engineer San Jose, CA: $293,600 - $335,100 for Director, 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).

  • Prince, NY

  • no content

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).

  • Pimmit, VA

  • no content

Machine Learning Engineer 5 (IC)

Machine Learning Engineer 5 (IC) 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 Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale 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 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 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 5 years of experience optimizing ML algorithms, configurations, and infrastructure 5 years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5 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 5 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) 5 years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences 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 Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 San Jose, CA: $250,800 - $286,200 for Machine Learning 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).

  • Capitol, VA

  • no content

Machine Learning Engineer 5 (IC)

Machine Learning Engineer 5 (IC) 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 Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale 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 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 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 5 years of experience optimizing ML algorithms, configurations, and infrastructure 5 years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5 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 5 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) 5 years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences 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 Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 San Jose, CA: $250,800 - $286,200 for Machine Learning 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).

  • Prince, NY

  • no content

Senior Staff AI Engineer (Remote Eligible)

Senior Staff AI Engineer (Remote Eligible) 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. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One’s AI technical leadership. Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 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 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level 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 Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact 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. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Staff AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff 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).

  • Prince, NY

  • no content

Hybrid Pharmacist - Retail/Remote (Middle Tennessee)

Job Summary Responsible for ensuring the proper compounding, dispensation, review, and verification of prescribed medications within regulatory guidelines, company policies and procedures. Works effectively in a hybrid work environment (such as Pharmacy store, Call Center, Micro-Fulfillment, and/or remote) and provides pharmacy consulting services with empathy to patients regarding the effective usage of medications and awareness of drug interactions leveraging omni-channel services (e.g., in person consultation and via the phone). Offers preventive and clinical healthcare services, including immunizations, diagnostic testing, and patient outcomes services. Supports the efficient workflow of the pharmacy and assists the pharmacy management in identifying ways to optimize pharmacy financials, inventory management and enhance the patient experience. Job Responsibilities Performs pharmacist tasks, including compounding, drug therapy reviews, verification, and medication management. Reviews, interprets and dispenses prescribed medications. Enhances patient experience by focusing on healthcare services (e.g., patient consultation, medication management, drug therapy reviews) and retail, clinical, or wellness services such as immunizations, disease state management and specialty programs. Listens to patients concerns and issues, acts as a sounding board for pharmacy concerns and provides feedback to operations leaders. Resolves customer queries and issues in a timely manner to ensure a positive customer experience. Conducts centralized support, including patient registration, exception resolution, and assists with resolving patient issues. Performs in-person or virtual product/prescription reviews, within guidelines. Provides expertise, resources, education and support to broader team. Supports staff training and development opportunities. Promotes teamwork and motivates staff by fostering a shared vision. Supports company policies, procedures, mission, values, and standards of ethics and integrity. Partners with leadership team in analyzing performance (KPIs), financial and customer service data; Implements procedures for pharmacy asset protection and inventory management. Ensures the pharmacy adheres to regulations, company policies and standards. Collaborates with leaders to establish workflow procedures (e.g., assigning roles, coordinating activities and soliciting employee suggestions). Oversees pharmacy opening, closing and shift change. Maintains and develops relationships with medical providers and other health professionals. Ensures pharmacy staff follows up with medical providers’ to clarify prescriptions, dosages, refills, interactions and allergies, to suggest alternative medications and answer questions. Maintains current knowledge of pharmacy systems technology (e.g., workflows, prescription fulfillment, billing, clinical documentation, training, inventory management, and POS registers). Processes insurance claims. Liaises with insurance companies, medical providers and auditors. Develops and maintains relationships with the local medical community, including physicians, nurses, and other healthcare providers. Participates in community outreach activities to promote the pharmacy business and enhance growth opportunities. Participates in community events that reflect the unique communities we serve as requested by leadership team. Drives compliance and continuous improvement in the delivery of clinical pharmacy patient care and services by studying, evaluating, and re-designing processes; monitoring and analyzing results; and implementing changes. Adheres to regulatory compliance and standard operating procedures. Maintains awareness of third-party pharmacy business opportunities and assures proper administration and implementation of pharmacy systems and procedures. Seeks professional development and solicits feedback. Maintains current knowledge and required licensing/credentialing/certification as established by federal and state regulations. Stays current with pharmacy trends and best practices. About Walgreens Founded in 1901, Walgreens (www.walgreens.com) proudly serves nearly 9 million customers and patients each day across its approximately 8,500 stores throughout the U.S. and Puerto Rico. Walgreens has approximately 220,000 team members, including nearly 90,000 healthcare service providers, and is committed to being the first choice for pharmacy, retail and health services, building trusted relationships that create healthier futures for customers, patients, team members and communities. Basic Qualifications BS in Pharmacy or Pharmacist Degree from an accredited educational institution. Current Pharmacist license as granted by the appropriate state licensing authority. Experience performing prescription dispensing activities, demonstrating a strong working knowledge of applicable state and federal controlled substance laws. Certified Immunizer or willing to become an immunizer within 90 days of hire. Willing and able to work effectively in different and/or multiple work environments (such as Centralized Services, Retail Pharmacy, Specialty Pharmacy, and/or virtual). Willing to travel up to/at least 10% of the time for business purposes (within state and out of state). Preferred Qualifications At least 1 year of pharmacy experience, including prescription filling and verification, records and legal compliance, pharmacy operations, pharmacy software and technology systems and insurance. Experience using time management skills such as prioritizing/organizing and tracking details and meeting deadlines of multiple projects with varying completion dates. Experience with pharmacy technology including Intercom, Promise, and Plus. Has completed specialized training regarding medication and disease state or has sufficient practical experience necessary to provide specialized services offered at clinic location (HIV, Organ Transplant, Oncology, etc.). We will consider employment of qualified applicants with arrest and conviction records. The Salary below is being provided to promote pay transparency and equal employment opportunities at Walgreens. The actual hourly salary within this range that you will be offered will depend on a variety of factors including geography, skills and abilities, education, experience and other relevant factors. This role will remain open until filled. To review benefits, please click here jobs.walgreens.com/benefits. If you are applying on a job board or unable to click on the link, please copy and paste this URL into your browser jobs.walgreens.com/benefits

  • Mountain Home, TN

  • no content

Pharmacist, Hourly, Memphis Fulfillment Pharmacy

Job Summary: Responsible for providing prescription verification and pharmacy expertise in a Fulfillment Center to ensure patients receive the highest levels of quality and service. Performs pharmacist responsibilities independently and in partnership with pharmacist peers and the pharmacy staff to ensure consistent communication and execution. Job Responsibilities: Performs fulfillment center pharmacist tasks including, but not limited to prescription verification and data review; takes necessary actions to ensure accuracy and appropriateness of medications. Reviews, interprets and accurately dispenses prescribed medications within pharmacy workflow. Supports the efficient workflow of the pharmacy and assists the pharmacy team in identifying ways to optimize pharmacy financials, inventory management and enhance processes that drive a safe, and quality output. Maintains current knowledge of information technology associated with pharmacy systems including workflow, prescription fulfillment, clinical documentation, training, and inventory management, to provide support to pharmacy staff. Seeks new and better ways to further promote productivity and quality. Responds to requests for information and/or policy interpretation from the pharmacy staff and leadership. Provides clear, effective feedback or coaching to pharmacy staff to ensure proper policy and process adherence, especially related to quality and accuracy. Responsible for all questions, dialogues, and issues which relate directly to prescription fulfillment processes within the micro fulfillment center. Follows guidelines and procedures for all job responsibilities to meet goals. Adheres to company policies and procedures including all HIPAA guidelines/regulations. Ensures compliance with federal, state, and local pharmacy laws. About Walgreens Founded in 1901, Walgreens (www.walgreens.com) proudly serves nearly 9 million customers and patients each day across its approximately 8,500 stores throughout the U.S. and Puerto Rico. Walgreens has approximately 220,000 team members, including nearly 90,000 healthcare service providers, and is committed to being the first choice for pharmacy, retail and health services, building trusted relationships that create healthier futures for customers, patients, team members and communities. Basic Qualifications BS in Pharmacy or Pharmacist Degree from an accredited educational institution. Current Pharmacist license as granted by the appropriate state licensing authorities and obtains/maintains all state licenses required by dispensing facility. Experience working with confidential information. Willing to work non-standard hours, which may include evenings, holidays and/or weekends. Experience developing ways of accomplishing goals with little or no supervision, depending on oneself to complete objectives and determining when escalation of issues is necessary. Experience providing customer service to internal and external customers, including meeting quality standards for services, and evaluation of customer satisfaction. Preferred Qualifications Knowledge of computer operating systems, for example: Intercom, Promise, and Plus. Experience in a pharmacy fulfillment center or mail order site. Experience motivating team members to research and resolve issues. Experience using time management skills such as prioritizing/organizing and tracking details and meeting deadlines of multiple projects with varying completion dates. We will consider employment of qualified applicants with arrest and conviction records. The Salary below is being provided to promote pay transparency and equal employment opportunities at Walgreens. The actual hourly salary within this range that you will be offered will depend on a variety of factors including geography, skills and abilities, education, experience and other relevant factors. This role will remain open until filled. To review benefits, please click here jobs.walgreens.com/benefits. If you are applying on a job board or unable to click on the link, please copy and paste this URL into your browser jobs.walgreens.com/benefits Salary Range: $57.9 - $missing / Hourly

  • Hickory Hill, TN

  • no content