Healthcare

Paid Panel Immediate Start. Full-Time / Part-Time. Help Desk Support Welcome

Apex Focus Group partners with research organizations, academic institutions, and brands seeking genuine consumer feedback. We connect individuals with flexible work from home research opportunities that help shape products, services, and user experiences. Role Overview: We’re inviting individuals from all backgrounds, including those searching for help desk support roles, to express interest in joining upcoming consumer research studies. These may include online interviews, product evaluations, or feedback sessions - most often conducted remotely. This is a casual, project-based role available for immediate start, ideal for individuals looking to participate part-time (or full-time) in research based on availability and profile match. Requirements: A smartphone, tablet, or computer with a working camera A stable internet connection Ability to follow written instructions and share thoughtful opinions A valid email address to receive study invitations Benefits: Flexible participation - opt in only when studies match your profile Research formats vary and may include focus groups (work from home online or in-person), video interviews, product evaluations, or digital feedback sessions No prior help desk support experience needed. Just a willingness to share your opinions Some studies may offer early access to unreleased products or services Compensation is offered for many studies, depending on type Compensation: Up to $750 per week (amount varies based on the selected focus group or research assignment) If you're interested in being part of research that helps shape real-world decisions, and exploring flexible part-time or full-time roles with an immediate start, we welcome you to register your interest online today. Important Notice – No Fees Required: We never charge any fees to register or participate. Please remain cautious of any message requesting payment to take part in research.

  • Minnesota

  • no content

Remote Online Consumer Research Panel. Data Entry Clerk Welcome

Apex Focus Group partners with research organizations, academic institutions, and brands seeking genuine consumer feedback. We connect individuals with flexible online consumer research opportunities that help shape products, services, and user experiences. Role Overview: We’re inviting individuals from all backgrounds, including those searching for data entry clerk or online remote roles, to express interest in joining upcoming consumer research studies. These may include online interviews, product evaluations, or feedback sessions - most often conducted remotely. This is a casual, project-based role well suited for individuals looking to participate part time (or full time) in research based on availability and profile match. Requirements: A smartphone, tablet, or computer with a working camera A stable internet connection Ability to follow written instructions and share thoughtful opinions A valid email address to receive study invitations Benefits: Flexible participation - opt in only when studies match your profile Research formats vary and may include focus groups (work from home online or in-person), video interviews, product evaluations, or digital feedback sessions No prior data entry or clerk experience needed. Just a willingness to share your opinions Some studies may offer early access to unreleased products or services Compensation is offered for many studies, depending on type Compensation: Up to $750 per week (amount varies based on the selected focus group or research assignment) If you're interested in being part of research that helps shape real-world decisions, and exploring flexible remote, online opportunities, we welcome you to register your interest online today. Important Notice – No Fees Required: We never charge any fees to register or participate. Please remain cautious of any message requesting payment to take part in research.

  • Wisconsin

  • no content

Paid Panel Immediate Start. Full-Time / Part-Time. Help Desk Support Welcome

Apex Focus Group partners with research organizations, academic institutions, and brands seeking genuine consumer feedback. We connect individuals with flexible work from home research opportunities that help shape products, services, and user experiences. Role Overview: We’re inviting individuals from all backgrounds, including those searching for help desk support roles, to express interest in joining upcoming consumer research studies. These may include online interviews, product evaluations, or feedback sessions - most often conducted remotely. This is a casual, project-based role available for immediate start, ideal for individuals looking to participate part-time (or full-time) in research based on availability and profile match. Requirements: A smartphone, tablet, or computer with a working camera A stable internet connection Ability to follow written instructions and share thoughtful opinions A valid email address to receive study invitations Benefits: Flexible participation - opt in only when studies match your profile Research formats vary and may include focus groups (work from home online or in-person), video interviews, product evaluations, or digital feedback sessions No prior help desk support experience needed. Just a willingness to share your opinions Some studies may offer early access to unreleased products or services Compensation is offered for many studies, depending on type Compensation: Up to $750 per week (amount varies based on the selected focus group or research assignment) If you're interested in being part of research that helps shape real-world decisions, and exploring flexible part-time or full-time roles with an immediate start, we welcome you to register your interest online today. Important Notice – No Fees Required: We never charge any fees to register or participate. Please remain cautious of any message requesting payment to take part in research.

  • Puerto Rico

  • no content

Remote Focus Group Panelists. Open to Entry Level, Cashier and Warehouse Workers

Apex Focus Group partners with research organizations, academic institutions, and brands seeking genuine consumer feedback. We connect individuals with flexible market research opportunities that help shape products, services, and user experiences. Role Overview: We’re inviting individuals from all backgrounds, including entry level, cashier and warehouse workers, to express interest in joining upcoming consumer research studies. These may include online interviews, product evaluations, or feedback sessions - most often conducted remotely. This is a casual, project-based role well suited for individuals looking to participate part time in research based on availability and profile match. Requirements: A smartphone, tablet, or computer with a working camera A stable internet connection Ability to follow written instructions and share thoughtful opinions A valid email address to receive study invitations Benefits: Flexible participation - opt in only when studies match your profile Research formats vary and may include focus groups (work from home online or in-person), video interviews, product evaluations, or digital feedback sessions No prior cashier and warehouse experience needed. Just a willingness to share your opinions Some studies may offer early access to unreleased products or services Compensation is offered for many studies, depending on type Compensation: Up to $750 per week (amount varies based on the selected focus group or research assignment) If you're interested in being part of research that helps shape real-world decisions, and exploring flexible remote, work from home opportunities, we welcome you to register your interest online today. Important Notice – No Fees Required: We never charge any fees to register or participate. Please remain cautious of any message requesting payment to take part in research.

  • Michigan

  • no content

Clinical Nurse (RN) - Neuroscience

Position Title Clinical Nurse (RN) - Neuroscience Bell Hospital Position Summary / Career Interest: The Clinical Nurse provides professional nursing care through assessment and accurate documentation, diagnosis, planning, implementation and evaluation for the comfort and well-being of patients. Carries out a plan of care specific to unit competencies for the target patient population. Coordinates care delivery and education through collaboration with patient, family and all health care team providers to ensure safe, effective and quality patient care. Follows organizational policies in providing safe patient care. Performs other duties as assigned. Unit: CA6 - Neurology/Epilepsy/ENT Shifts: Day and Nights Available Schedule: Full-Time, Part-time and PRN options available This state-of-the-art telemetry unit is dedicated to the care of the Neuroscience and Ear, Nose, & Throat (ENT) patient population. Nurses work with teams of Neuro-specialists in General Neurology, Stroke, Epilepsy, and Movement Disorders. Our ENT specialists include Otolaryngology and Head & Neck surgeries. This is unit is comprised of specialty services - Neurology, Stroke, Epilepsy, and Ear/Nose/Throat Surgeries. As specialties within the KU Health System, CA6 sees the most advanced treatment in the region for these areas. CA6 boasts being part of several top performing teams including a Level 4 Epilepsy Center, Advanced Comprehensive Stroke Center, and KU's Neurology is ranked 31 by US News & World Report. CA6 received the Beacon Gold Award for Excellence in 2019 showcasing our unit's constant commitment to evidence-based care to continually improve our patients' outcomes. CA6 works as a team unit, supporting each other so that every patient receives world class care. Resiliency, initiative, and teamwork are musts. CA6 is supportive, working closely with all interdisciplinary teams to manager patient care. Our staff takes pride in balancing bedside nursing skills (i.e. feeding tubes, drains, tracheostomies, wounds, altered mobility, pain management, etc.), interpersonal communication with teams and families, and compassionate care all while effectively managing their time in a fast paced work environment. Our nurses become experts in this field and value being able to be the support person for these patients and guiding them through their stay. Our patients have complex medical and surgical needs. Nurses' ability to communicate effectively and patiently is imperative. Our patients' communication, movement, and normal daily living activities are greatly affected by our patient population's diagnoses (i.e. throat cancer/trach/laryngectomies, strokes, ALS, seizures, etc.). Our surgical population primarily includes our ENT patients. These patients require care for complex head and neck wounds including multiple drains, new airways, and microvascular tissue transfers. We care for ENT stepdown patients that are considered intermediate level of care requiring 3:1 ratio with competencies in arterial lines and tissue transfer dopplering. These patients tend to be highly anxious which makes calm interpersonal communication essential. Other common ENT surgeries are thyroidectomies, laryngectomies, sinus surgeries, and parotid tumor ectomies. CA6's Medical population includes Strokes with advanced interventional therapies, autoimmune neurological diseases such as Gillian-barre syndrome, myasthenia gravis, ALS, Multiple Sclerosis, etc. CA6 and KU's neurology department have a reputation of caring for complex and rare diseases, often having patients transferred to KU for our specific care. CA6 nurses receive specific stroke, epilepsy, and ENT competencies. Responsibilities and Essential Job Functions Provides professional nursing care through assessment and accurate documentation, diagnosis, planning, implementation and evaluation for the comfort and well-being of patients. Carries out a plan of care specific to unit competencies for the target patient population. Coordinates care delivery and education through collaboration with patient, family and all health care team providers to ensure safe, effective and quality patient care. Follows organizational policies in providing safe patient care. Must be able to perform the professional, clinical and or technical competencies of the assigned unit or department. These statements are intended to describe the essential functions of the job and are not intended to be an exhaustive list of all responsibilities. Skills and duties may vary dependent upon your department or unit. Other duties may be assigned as required. Required Education and Experience High School Graduate Associate Degree Nursing For ADN prepared nurses hired after February 24, 2017, must complete BSN degree by the fifth anniversary of employment as an RN with UKHA 6 months to 2 years' experience as a Clinical Nurse Preferred Education and Experience Bachelor Degree Nursing Required Licensure and Certification Licensed Registered Nurse (LRN) - Single State - State Board of Nursing (Kansas) or compact license Basic Cardiac Life Support (BLS or BCLS) - American Heart Association (AHA) within 14 days Time Type: Full time Job Requisition ID: R-6774 We are an equal employment opportunity employer without regard to a person's race, color, religion, sex (including pregnancy, gender identity and sexual orientation), national origin, ancestry, age (40 or older), disability, veteran status or genetic information. Need help finding the right job? We can recommend jobs specifically for you! Create a custom Job Alert by selecting criteria that suit your career interests.

  • Kansas City, KS

  • no content

Speech Therapist

Overview: At Powerback, we're on a mission to improve lives. As the leader in physical, occupational, speech, and respiratory therapies, we help older adults stay active and thrive. With over four decades of trusted service, our reach spans skilled nursing centers, assisted and independent living facilities, outpatient clinics, and home-based care. We're proud to deliver personalized care exactly where and when it's needed most. Join an industry-leading team that restores hope and makes a lasting impact. If you're passionate about making a meaningful difference and want to be part of the future of rehabilitation and wellness, Powerback is the place for you. Why Powerback? Benefits : We offer Medical, Dental, and Vision plans to Full-Time team members. We offer Dental and Vision to Part-Time team members. Paid Time Off: We offer generous paid time off to Full-Time and Part-Time team members. Support for New Grads: Our Powerback Clinical Mentorship Program kicks off on day one, helping you learn from the best in the field. Continuing Education: Keep growing with free CEUs through Medbridge. H-1B Visa & Relocation Assistance: We support Visa or Green Card sponsorships, plus our Journey Travel Program lets you work across the U.S. with the security of a full-time role. Perks at Powerback: Enjoy exclusive discounts on Wireless/TV, Home/Auto/Renters and Pet Insurance, Childcare, Eldercare, and more. Earn rewards through our PowerZone Employee Recognition Program, and expand your expertise with our Clinicians in Action professional development program. Responsibilities: As a Speech Language Pathologist, you help patients get their power back . You are the person who can help people communicate, swallow, and work to diminish or remediate disorders or deficits. In doing this, you take responsibility for the effective and efficient delivery of rehab services, you design the plan, and work with patients to execute those plans. You're a healer and a helper, which is why you got into this line of work. You're equally adept at addressing the whole patient and seeing them as an individual, and you know your goal is the design of a program that will restore, reinforce, and enhance their speech and communication abilities. You're adaptable to the needs of the patient and can find joy in the variety of the work and the settings. From cleaning equipment to reporting to meetings, you thrive in a setting that keeps you moving through your day. You're a teammate and are looking for collaboration with your peers, but you're also happy to make referrals to help your patient get the care they need to thrive. You know that being a Speech Language Pathologist means you're a teacher who can train patients and caregivers on the skills they need to promote independence and productivity. If this sounds like you, we'd love to meet you! Qualifications: Qualifications 1. A Master's degree in Speech-Language Pathology, Communication Disorders, Communicative Disorders or similarly-titled area that is consistent and acceptable to the American Speech-Language-Hearing Association. 2. Licensed, certified or credentialed, as required in the state of practice. Posted Salary Range: USD $40.04 - USD $46.00 /Hr.

  • New Albany, IN

  • no content

DRIVER

Job Description: About SEKO SEKO started out in business in 1976, operating out of a single Chicago office. Since then, we have built a solid reputation throughout the world as an innovative and flexible provider of first-class logistics services. We provide complete Supply Chain Solutions, specializing in transportation, logistics, forwarding and warehousing. We also lead the industry with innovative and customizable IT solutions, which provide a seamless flow of information and give our growing customer base true supply chain visibility. With over 120 offices in 40 countries worldwide, our unique shareholder management model enables you to benefit from Global implementation experience and expertise across all industry sectors, coupled with vital in-country knowledge and service at the local level. KEY ACCOUNTABILITIES INCLUDE: Drive established route to deliver products to assigned locations. Perform daily pre-trip and post-trip inspections on vehicle prior to commencing route. Always adhere to safe and courteous operation of delivery vehicle. Complete all required paperwork daily, including Department of Transportation logbook and driver vehicle inspection report (DVIR). Report to work in adherence to company uniform standards (e.g., neat, clean, and properly attired). Adhere to all Safety regulations and perform all duties in a safe manner. Plan trip logistics and obtain necessary documents to transport goods. Load and unloaded cargo make sure safety equipment is being utilized. Ensure cargo is secured properly compliant with safety requirements. Communicate changes to delivery schedules, delays, arrivals and/or equipment problems as encountered Follow/adhere to all traffic laws. Maintain vehicle, product, and equipment tidy and in good working order. Work flexible hours which include early morning (i.e., 4:00a.m. – 6:00a.m. start times), evenings and/or Saturday’s; Overtime will be required at times. Perform other related duties as assigned. Comply with SEKO’s C-TPAT Security Profile. Participate in the development of a safe and healthy workplace. Comply with instructions given for their own safety and health and that of others, in adhering to safe work procedures. Co-operate with management in its fulfilment of its legislative obligations. Other duties as assigned by management. REQUIREMENTS: Excellent accuracy and attention to detail skills to process large numbers of deliveries. Strong communication skills – written, verbal, persuasion, motivation, facilitation of strong working relationships Knowledge of other MS Office Suite and/or software applications related to job functions. Excellent interpersonal, customer service, analytical/problem solving, problem management, presentation development, presentation, and communications skills. Knowledge with GPS navigation technology. Knowledge of delivery area and alternate routes. EDUCATION & EXPERIENCE: Minimum: High school diploma/GED and 2-5 years driving experience in a distribution environment. Must be Class A or B Commercial Driver’s License and acceptable Motor Vehicle Record (MVR). Must be Department of Transportation (DOT) certified. Class A Commercial Driver’s License required. Experience with route delivery/driving. Preferred: None SPECIALIST CERTIFICATIONS: None Compensation and Benefits Base salary range and benefits information for this position are being included in accordance with requirements of various state/local pay transparency legislation. Please note that base salaries may vary for different individuals in the same role based on several factors, including but not limited to location of the role, individual competencies, education/professional certifications, qualifications/experience, performance in the role and potential for revenue generation (Producer roles only). CompensationThe base salary compensation range being offer for this role is $25 - $36 USD per year. This role is also eligible for an annual incentive bonus. SEKO Logistics is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. Benefits Designed with You in Mind:At SEKO Logistics, we are committed to supporting your well-being, professional growth, and financial stability (eligibility requirements apply). Our comprehensive benefits package includes: Health and Welfare Benefits: Medical (including prescription coverage), Dental, Vision, Health Savings Account, Commuter Account (IL only), Flexible Spendings Account, Health Care and Dependent Care Flexible Spending Accounts, Group Accident, Group Accident, Critical Illness and hospital indemnity program, Life Insurance, AD&D, Wellbeing Program and Work/Life Resources (including Employee Assistance Program) Leave Benefits: Paid Holidays, Annual Paid Time Off (includes paid state/local paid leave where required), Short-Term Disability, Long-Term Disability, Other Leaves (e.g., Bereavement, FMLA, ADA, Jury Duty, Military Leave, and Parental and Adoption Leave) Retirement Benefits: Contributory Savings Plan (401k). SEKO Worldwide is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary: . Date posted: 08/31/2026

  • Mount Prospect, IL

  • no content

Distinguished Machine Learning Engineer

Distinguished Machine Learning Engineer Overview: As a Capital One Machine Learning Engineer, you'll be providing technical leadership to engineering teams dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll serve as a technical domain expert in machine learning, guiding machine learning architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. You’ll also mentor other engineers and further develop your technical knowledge and skills to keep Capital One at the cutting edge of technology. What you’ll do in the role: 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 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 At least 10 years of experience designing and building data-intensive solutions using distributed computing At least 6 years of experience programming in C, C++, Python, or Scala At least 3 years of experience with the full ML development lifecycle using modern technology in a business critical setting Preferred Qualifications: Master's Degree 3 years of experience designing, implementing, and scaling production-ready data pipelines that feed ML models 2 years of experience using Dask, RAPIDS, or in High Performance Computing 2 years of experience with the PyData ecosystem (NumPy, Pandas, and Scikit-learn) Ability to communicate complex technical concepts clearly to a variety of audiences ML industry impact through conference presentations, papers, blog posts, or open source contributions Ability to attract and develop high-performing software 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: $269,100 - $307,200 for Distinguished Machine Learning Engineer Plano, TX: $244,700 - $279,200 for Distinguished 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

Senior Lead AI Engineer (SDK's: Gen AI Evaluation and MCP)

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

  • Pimmit, VA

  • no content

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

Applied Researcher II (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new 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 II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II 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 Lead Machine Learning Engineer

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

  • Plano, TX

  • no content

Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)

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

  • Pimmit, VA

  • no content