Graduate research assistant jobs in Greenville, NC - 1,239 jobs

Job Title: Research Scientist Reporting: Director of Innovation Ascent Industries Co. is seeking a Research Scientist to join our Research and Development team. This role will serve as the technical focal point for new custom and contract manufacturing projects and drive successful execution from proof of concept through commercial-scale production. This role will collaborate with cross-functional stakeholders in R&D, Sales, Marketing, Engineering, and Manufacturing to drive commercial success with a focus on speed to solution, commercial-scale viability, deep technical rigor, and a proactive safety mindset. The ideal candidate combines strong technical skills in experiment design, synthesis, process chemistry, commercial-scale unit operations, and scale up within the chemicals or materials industry. This role is expected to serve as the subject matter expert for all analytical testing related to the contract manufacturing projects, implementing customer specified tests and introducing new test methods that are critical for ensuring product quality. Duties and Responsibilities: Serve as the technical focal point for new contract manufacturing opportunities. Identify fastest and most efficient route to commercially viable solutions for new contract manufacturing and custom synthesis opportunities based on a deep understanding of process chemistry and plant unit operations. Establish R&D lab capabilities for synthesis, process development, sample preparation, and testing by evaluating current capabilities and additional needs to support project pipeline. Design experiments based on sound scientific principles and statistical methods to validate technical packages for proof of concept, optimize processes, and develop technical package for manufacturing to support First Time in Spec production. Rapidly produce samples for customer evaluation based on a thorough understanding of plant equipment capabilities and technical requirements Demonstrate expertise in a broad array of analytical instruments and drive new method development to align internal test methods and capabilities with customer methods and protocols. Leverage external labs for specialized test capabilities. Collaborate with key stakeholders in Sales, Engineering, Manufacturing, Procurement, and Product stewardship to drive successful commercialization. Engage with customers to gather process details, develop experimental plans, communicate project progress, present key findings, results, and support successful qualifications. Create Standard Operating Procedures and Work Instructions for core lab activities. Assure safe lab operations and compliance with site regulations while ensuring zero recordables. Skills, Qualifications, Experience, Special Physical Requirements: Bachelor's degree (advanced degree preferred) in Chemistry, Chemical Engineering, or Materials Science and Engineering Proven hands-on industrial scale-up and technical transfer experience (5+ years) in fine or specialty chemicals or materials industry with subject matter expertise in one or more product categories: Adhesives, Coatings, Surfactants, Dispersions, Specialty Additives, and Reactive Blends. Know-how of product requirements for one or more market segments: CASE, Oil and Gas Chemicals, Plastics/Engineered Polymers, Water Treatment Chemicals, Lubricants, and Personal Care. Strong lab scale synthesis skills, working knowledge of commercial-scale process equipment, and prior experience scaling a product from the laboratory scale through robust commercial scale production. Solid understanding of interplay between raw materials, formulations, manufacturing process variables, product specifications, and product performance. Prior experience with development of detailed technical packages for scale up. In depth analytical and method development experience with techniques such as GPC, GC, HPLC, FTIR, NMR, Rheology, Particle Size, and wet chemistry. Design of Experiments and Six Sigma Green Belt Experience Preferred. Ability to prioritize tasks, manage multiple projects simultaneously, and meet tight deadlines. Strong communication skills both written and verbal. US Citizenship or Green Card required Success Metrics On time execution of R&D work for new contract manufacturing projects per milestones established in NPD process Improve technology transfer from lab to plant with a focus on developing detailed technical packages for achieving target specifications in the first production run. Develop detailed understanding of customer technical protocols for testing and drive quick internal implementation Serve as a technical interface to provide outstanding customer engagement in all technical aspects and help position R&D as our unique value proposition to contract manufacturing customers

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: $257,300 - $293,700 for Applied Researcher II McLean, VA: $257,300 - $293,700 for Applied Researcher II New York, NY: $280,700 - $320,400 for Applied Researcher II San Francisco, CA: $280,700 - $320,400 for Applied Researcher II San Jose, CA: $280,700 - $320,400 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 ; 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- or via email at . 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 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).

Novateur stands for Innovation. We value creativity, vision, collaboration, and above all, ambition to innovate. Novateur Research Solutions is an R&D firm located in Northern Virginia, developing intelligent systems that push the boundaries of computer vision, AI, and large-scale learning. We are seeking Research Engineers to advance the state of the art in large-scale machine learning, spatiotemporal modeling, and multimodal reasoning. Our projects span object tracking, re-identification, geo-localization, chemical and biological defense, and scene understanding. You will work at the intersection of software engineering and applied research, turning novel algorithms into robust, deployable systems. Responsibilities: • Prototype and optimize algorithms in computer vision and machine learning. • Build scalable training and inference pipelines on cloud platforms (AWS EKS). • Perform data curation, model evaluation, and system integration. • Collaborate with academic and government research partners. Requirements: • BS or MS in Computer Science, Engineering, Applied Math, or related field. • Experience with PyTorch or TensorFlow and scalable model training. • Strong background in algorithms and software design. • Excellent communication and technical writing skills. • U.S. Citizen or Permanent Resident. Preferred: • Experience with geospatial data (PostGIS, GeoJSON, QGIS). • Familiarity with Kubernetes and distributed data systems. Why Novateur? Join a team that values creativity and initiative. Our engineers have freedom to innovate, collaborate with top researchers, publish research in major scientific conferences, and see their ideas deployed in impactful applications. Company Benefits: Novateur offers competitive pay and benefits comparable to Fortune 500 companies that include a wide choice of healthcare options with generous company subsidy, 401(k) with generous employer match, paid holidays and paid time off increasing with tenure, and company paid short-term disability, long-term disability, and life insurance. We offer a work environment which fosters individual thinking along with collaboration opportunities within and beyond Novateur. In return, we expect a high level of performance and passion to deliver enduring results for our clients.

Up To $1,000 Paid Depression Study! Those who Currently Experience At Least TWO Symptoms of Depression And the Current Depressive Episode Started More Than 4 Weeks Ago May Qualify For The Study!

Job Title: Algae Research Associate (Full time) Department Name: Research and Development Supervisor Name: Mya Esposito Supervisor Title: Algae Research Scientist SUMMARY SePRO Corporation (************** is a research-based environmental restoration company providing innovative products and services for specialty environmental markets worldwide including aquatics, turf & ornamentals, and specialty agriculture. The company designs, manufactures and distributes products that improve water quality and enhance plant health. SePRO is a privately held, fast-growing company that provides rapid career development and advancement opportunities. Under the direction of the Algae Research Scientist, the Algae Research Associate will assist with technical support initiatives as well as laboratory, mesocosm and field research at the SePRO Research and Technology Campus (SRTC) located in Whitakers, NC. This position will support key water sample analysis initiatives as well as advance research and development of aquatic herbicide, algaecide and nutrient mitigation technologies. RESPONSIBILITIES Support of SePRO technical service offerings with focus on SeSCRIPT algae and water quality methods and reporting. Support will include algal identification and culturing. Become proficient in analytical techniques such as microscopy and report writing required for sample analysis Be able to report and efficiently communicate results of analyses Involved in experimental design/setup, implementing treatments, and data collection/analysis on numerous research initiatives Develop an understanding of the scientific method and how it is used in aquatics research to answer prioritized research questions Conduct laboratory, mesocosm and field research regarding existing and new solutions for advancing water resource management Duties may include: field site monitoring of treatment efficacy, sample collection, laboratory methods to analyze response parameters, analytical confirmation of exposure concentrations Work with formulation scientists as well as regulatory, manufacturing and marketing personnel during new product development and launch Writing reports (customer samples and research summaries) and communicating results is critical Abide by all Laboratory Safety protocols. Perform quality assurance and control initiatives to ensure accuracy of data collected EDUCATION, QUALIFICATIONS, SKILLS, AND EXPERIENCE A minimum of an Associate's degree in a scientific or related discipline is desired Experience in Ecology, Biology, Chemistry, Environmental Science, Toxicology, or related fields is desired A background in Laboratory Practices (microscope use, analytical chemistry, toxicity testing, etc.) preferred Strong written and oral communication skills, as there is continuous interaction with external customers and SePRO colleagues (fellow R&D employees, manufacturing personnel, and business teams) Ability to implement critical thinking skills and apply the scientific method Proficiency with computers and Microsoft Word, Excel, and PowerPoint as well as ability to learn new programs is required Willingness to perform tasks outside of primary job description, be self-motivated, driven, passionate, and able to work in a team-first environment

As part of the Land Grant University, the Department of Entomology and Plant Pathology in the College of Agriculture and Life Sciences at North Carolina State University is composed of over 40 faculty that direct a varied portfolio of programs in teaching, research, and extension. Collectively, these strengths not only serve our clientele and our science but also provide a rich environment for graduate education and training that can be tailored to the specific career interests of the student, irrespective of whether they prefer training in the basic sciences or are preparing for a career in extension. Our education and research programs provide graduate and undergraduate students with unique hands-on learning opportunities using the latest technologies. Entomology and Plant Pathology houses the Plant Disease and Insect Clinic, the Larry Grand Mycological Herbarium, Micropropagation and Repository Unit, Structural Pest Management Training Facility, an Insect Museum with 1.9 million vouchered insects, and the Center for Integrated Fungal Research. The College of Agriculture and Life Sciences houses 12 Academic departments with 294 faculty, 2,891 undergraduate students and 899 graduate students. The College is home to 18 research stations strategically located across the state that enhances our interactions with our farmers, stakeholders, and industry partners. Our strategic plan, Growing Our Future 2023-2030 is accessible here ************************************************* Wolfpack Perks and Benefits As a Pack member, you belong here, and can enjoy exclusive perks designed to enhance your personal and professional well-being. As you consider this opportunity, we encourage you to review our Employee Value Proposition and learn more about what makes NC State the best place to learn and work for everyone. What we offer: * Medical, Dental, and Vision * Flexible Spending Account * Retirement Programs * Disability Plans * Life Insurance * Accident Plan * Paid Time Off and Other Leave Programs * 12 Holidays Each Year * Tuition and Academic Assistance * And so much more! Attain Work-life balance with our Childcare benefits, Wellness & Recreation Membership, and Wellness Programs that aim to build a thriving wolfpack community. Disclaimer: Perks and Benefit eligibility is based on Part-Time or Full-Time Employment status. Eligibility and Employer Sponsored Plans can be found within each of the links offered. Essential Job Duties This position will conduct applied and basic research on insect pests of field crops. Duties will include experimental design, implementation, and analysis, with a primary focus on field-based ecological research. In practice, this will require the ability to convert oral instructions for experimental outcomes into an effective field experiment. Often this involves independent selection of the proper site location, the use of heavy farm equipment modified for research purposes (from planting, maintaining, and harvesting a crop), correct layout and timing of the experiment, execution of appropriate methods for data collection, and analysis of the data. Duties will include: Nature and Scope of Research: The Research Assistant independently supports, designs, and executes fundamental, applied, and basic research activities focused on insect pests of field crops. This role involves participation in formulating research methods, including: * Translating oral instructions for experimental outcomes into effective field experiments. * Independent selection of proper site locations. * Planning the correct layout and timing of experiments. Judgment and Discretion: The individual will work independently to collect and analyze research results for specific aspects of the project. Duties require independent judgment in the field, including: * The use of heavy farm equipment modified for research purposes (for planting, maintaining, and harvesting a crop). * Execution of appropriate methods for data collection and subsequent data analysis. * Suggesting options for improving research quality and recommending solutions to minor problems. Scientific Contribution:The Research Assistant is expected to contribute to research publications, reports, and draft manuscripts. You Belong Here! At NC State, our goal is for all employees to reach their fullest potential at work. As you consider this opportunity, we encourage you to review our Employee Value Proposition (****************************************** and learn more about what makes NC State the best place to learn and work for everyone. This position is located in Plymouth, NC. Other Responsibilities * In addition to the responsibilities listed, you will be expected to interact independently with graduate students and representatives from the agricultural industry while the PI is away for Extension responsibilities. * This position will be responsible for planning work schedules based on multiple protocols and for modifying the protocols to fit the objectives. Qualifications Minimum Education and Experience * A Relevant Bachelor's degree in a biological or agricultural-related field and 3 or more years of relevant experience, or relevant independent experience and education. Other Required Qualifications * Demonstrated ability to design, implement, and manage field-based agricultural or ecological research trials. * Proficiency in accurate data collection, record keeping, and basic statistical data handling. * Ability to operate, maintain, and troubleshoot agricultural and research equipment safely. * Strong organizational and time-management skills to coordinate multiple concurrent projects. * Ability to work independently with minimal supervision and make sound decisions under field conditions. * Effective written and verbal communication skills for interaction with faculty, students, technicians, and industry collaborators. * Ability to train, supervise, and ensure safety compliance of temporary employees and students. * Willingness and physical ability to work outdoors under variable and sometimes adverse weather conditions. * Demonstrated attention to detail, reliability, and commitment to research integrity. * Basic computer proficiency, including spreadsheets, data entry platforms, and document preparation. Preferred Qualifications * Experience with operating and maintaining field research equipment, and experience with ecological field experimental design. * Three years of experience in agricultural-based field research. * Previous management experience, including training and supervision of other staff and safety compliance, and inspections. Required License(s) or Certification(s) * A North Carolina CDL and an experimental pesticide applicator's license will be required upon hire, if not in possession. Valid NC Driver's License required No Commercial Driver's License required Yes

The Department of Anesthesiology at The University of North Carolina at Chapel Hill ( UNC ) is seeking an accomplished and motivated individual for a full-time research faculty position. The desired applicant would develop and run a successful NIH -funded laboratory focused on the study of chronic pain, overlapping pain conditions and/or field related to anesthesiology (e.g. sleep). Ideal candidates will have a track record of independent NIH (or equivalent) funding. Additionally, this individual will be expected to have national or emerging national recognition for their work and be highly motivated to contribute to UNC's research mission and department growth by collaborating with and mentoring other learners and researchers within the UNC Department of Anesthesiology and/or the greater UNC -CH research environment, serving on the departmental research committee and occasionally teaching research workshops and courses. This position will provide the candidate with access to an incredibly collaborative interdisciplinary research environment within the University, access to state of the art facilities and resources, and Department support. Preferred Qualifications, Competencies, And Experience Prefer an individual who can conduct both independent and collaborative research. Experience with mentoring graduate students, postdoctoral fellows and junior faculty.

Title: Research Faculty for the Advanced Manufacturing Logistics Institute State Role Title: Assistant Professor Hiring Range: Commensurate with Education and Experience Pay Band: UG Location: Virginia State University Agency Website: VSU Recruitment Type: General Public - G Job Duties The mission of the Advanced Manufacturing Logistics Institute is to provide resources to support workforce development, economic growth, focusing on logistics and advanced manufacturing. It also will provide integrated solutions to diverse areas of logistics systems that meet customer requirements and are cost effective, secure, and dependable. Job Duties: Research Responsibilities: 75 - 100% ▪ Scholarly Activity - Scholarly work takes various forms. However, a faculty member's effectiveness can be demonstrated by such achievements as publications in learned journals, fine arts creations, artistic performances, presentation of the results of original research, etc. The quality of the individual's scholarly approach, capacity for independent thought, originality and research output must be considered. ▪ Service - Service functions may be those performed for the University, the Commonwealth of Virginia, and regional, national and international groups. Service may include activities such as participation in committee work, carrying out administrative assignments, contributions to the improvement of faculty and student life, community work, etc. Classroom instruction (if assigned): 0 - 25% Minimum Qualifications ▪ Earned PhD in Advanced Manufacturing Logistics or related field* ▪ Knowledge of a subject/field and current research in a discipline housed in the department. ▪ Ability to develop effective research agenda ▪ Experience identifying sources of funding, preparing research proposals and submitting funding applications ▪ Demonstrated ability to promote a team effort within the department for research and project activities ▪ Ability to use research results to write reports, papers and reviews and present findings in journals and conferences. ▪ Must be able to collaborate with research teams, industry stakeholders and government agencies. ▪ Develop, manage and implement research activities ▪ Skilled in writing and submitting grants ▪ Must have experience managing research grants expenditures ▪ Must be able to support the research agenda of the program *Virginia State University requires that faculty be appropriately credentialed to teach assigned courses at the undergraduate and graduate levels. VSU demonstrates compliance with its Faculty Credentialing Policy #2301 for all applicable education, experience, licensure and certification requirements in the selection and hiring of its faculty. Additional Considerations 7+ years' experience in a Research Faculty role strongly desired, but not required. Special Instructions You will be provided a confirmation of receipt when your application and/or résumé is submitted successfully. Please refer to “Your Application” in your account to check the status of your application for this position. Virginia State University is committed to providing equal employment opportunities for all persons and applicants, without regard to age, color, disability, gender, national origin, political affiliation, genetic information, race, religion, sexual orientation, sex (including pregnancy) or veteran status. VSU encourages and invites minorities, women, individuals with disabilities, and veterans to apply. AmeriCorps, Peace Corps, and other national service alumni are encouraged to apply. HOW TO APPLY: Virginia State University only accepts applications for this position through the on-line state Recruitment Management System (RMS). Faxed, e-mailed, and mailed applications and/or attachments will not be accepted. The application must be detailed and fully completed. All employment and periods of unemployment (if applicable) must be listed within the application; either on an attached resume, or manually listed in the “Relevant Work History” section. Each application is reviewed for documentation that shows the applicant meets the minimum and preferred qualifications stated in the job announcement. The decision to interview an applicant is based on the information provided on the application, therefore, it is essential to fully complete each section of the application and provide descriptive information. Submitting an incomplete state application, or a state application lacking in detail, may result in your non-selection. This website will provide a confirmation of receipt when the application is submitted for consideration. Interested persons must attach a cover letter and a current resume/c.v to the online application. Official transcripts will be required at the time of employment. The selected candidate will be subject to an extensive and complete background check, which may include fingerprinting. The candidate may be required to complete a Statement of Economic Interest as a condition of employment, if applicable. Contact Information Name: Loreley Leabhart Phone: ************** Email: ***************** In support of the Commonwealth's commitment to inclusion, we are encouraging individuals with disabilities to apply through the Commonwealth Alternative Hiring Process. To be considered for this opportunity, applicants will need to provide their Certificate of Disability (COD) provided by a Vocational Rehabilitation Counselor within the Department for Aging & Rehabilitative Services (DARS), or the Department for the Blind & Vision Impaired (DBVI). Veterans are encouraged to answer Veteran status questions and submit their disability documentation, if applicable, to DARS/DBVI to get their Certificate of Disability. If you need to get a Certificate of Disability, use this link: Career Pathways for Individuals with Disabilities, or call DARS at ************, or DBVI at ************.

Department: 36621 Wake Forest University Health Sciences - Nursing Psychiatric Status: Full time Benefits Eligible: Yes Hours Per Week: 40 Schedule Details/Additional Information: Monday to Friday, First Shift Pay Range $0.00 - $0.00 Wake Forest University School of Medicine and Atrium Health Wake Forest Baptist (AHWFB) are seeking research faculty to join their emerging Center for Sleep & Circadian Rhythms. This is a unique opportunity to join a thriving and rapidly growing medical school and academic health system in a beautiful, vibrant, diverse and affordable community. The ideal candidate is a scientist or clinician-scientist at the level of Associate Professor or Professor (could be PhD, MD or MD/PhD) with expertise in epidemiology, behavioral sleep medicine, or clinical psychology. The faculty appointment would reside in an individual department based on the primary specialty of the candidate, with relevant joint appointments in related departments to foster interdisciplinary and translational research. If a team will accompany an applicant, departmental recruitments would be discussed with chairs to fund additional faculty. Center Goals: A main goal of the Center is to develop a nationally-recognized center for sleep and rhythms research, capitalizing on the research strengths at Wake Forest and access to the large population served by the Advocate Health system, with its shared electronic medical record and single IRB. The short-term goals of the Center are to: Recruit a team of experts with skills that are generalizable across multiple areas of sleep and rhythms research. Create a centralized resource of sleep and rhythms expertise and technologies for use throughout the Enterprise (both research and clinical domains), and serve as a coordinating ‘hub' for bringing together different investigators and organizational units involved in sleep- and rhythms-related research and clinical practice. Oversee development of center grants, training grants, and clinical trials related to the study of sleep and rhythms and their disorders. Pilot new ideas with input from community and organizational partners. Atrium Health Wake Forest Baptist's sleep center is accredited by the American Academy of Sleep Medicine. It has eight adult and two pediatric sleep beds. In Charlotte, Atrium Health offers the largest comprehensive sleep center in the Carolinas, with 14 sleep testing locations and 25 board certified sleep specialists seeing over 20,000 patient visits annually across the region. Atrium Health Wake Forest Baptist Atrium Health Wake Forest Baptist Health (www.WakeHealth.edu) is a nationally recognized academic health system in Winston-Salem, NC, with an integrated enterprise serving 24 counties in NC and Virginia. It comprises a regional clinical system with more than 300 locations, 2,100 physicians and 1,535 acute care beds; Wake Forest School of Medicine; and Wake Forest Innovations, which promotes the commercialization of research discoveries. This is a time of tremendous growth for Wake Forest. In 2020, Wake Forest Baptist Health and Atrium Health officially joined together as a single enterprise. As part of this new enterprise, Atrium Health announced $3.4 billion in planned investments in our health system and the communities we serve, including the construction of a second full campus of the School of Medicine in Charlotte. The growth of the medical school will expand existing academic research capabilities and opportunities for population health and clinical trials across a large, diverse market. Advocate Health Advocate Health is the fifth-largest nonprofit integrated health system in the United States - created from the combination of Advocate Aurora Health and Atrium Health in December 2022. Providing care under the names Advocate Health Care in Illinois, Atrium Health in the Carolinas, Georgia and Alabama, and Aurora Health Care in Wisconsin, Advocate Health is a national leader in clinical innovation, health outcomes, consumer experience and value-based care, with Wake Forest University School of Medicine serving as the academic core of the enterprise. Headquartered in Charlotte, North Carolina, Advocate Health serves nearly 6 million patients and is engaged in hundreds of clinical trials and research studies. It is nationally recognized for its expertise in cardiology, neurosciences, oncology, pediatrics and rehabilitation, as well as organ transplants, burn treatments and specialized musculoskeletal programs. Advocate Health employs nearly 150,000 team members across 67 hospitals and over 1,000 care locations, and offers one of the nation's largest graduate medical education programs with over 2,000 residents and fellows across more than 200 programs. Committed to equitable care for all, Advocate Health provides nearly $5 billion in annual community benefits. Winston-Salem, North Carolina Located in Forsyth County (population ≈376,000) in the Piedmont Triad region of NC, Winston-Salem is the state's fifth largest city, featuring a moderate climate with all four seasons and housing costs ≈32% below the national average. Residents enjoy a vibrant restaurant scene, a wide variety of indoor and outdoor recreational opportunities, strong public/private schools, enthusiastic support for the arts, and close proximity to the Appalachian Mountains and Atlantic Coast beaches. A comprehensive position description is available upon request. Wake Forest School of Medicine, Atrium Health Wake Forest Baptist, Wake Forest Baptist Medical Center and Advocate Health are Affirmative Action and Equal Opportunity Employers with a strong commitment to achieving diversity among faculty and staff. Interested candidates may contact: Thavone Khounthikoumane Talent Acquisition Program Manager Wake Forest University School of Medicine Thavone.Khounthikoumane@Advocatehealth.org Our Commitment to You: Advocate Health offers a comprehensive suite of Total Rewards: benefits and well-being programs, competitive compensation, generous retirement offerings, programs that invest in your career development and so much more - so you can live fully at and away from work, including: Compensation Base compensation listed within the listed pay range based on factors such as qualifications, skills, relevant experience, and/or training Premium pay such as shift, on call, and more based on a teammate's job Incentive pay for select positions Opportunity for annual increases based on performance Benefits and more Paid Time Off programs Health and welfare benefits such as medical, dental, vision, life, and Short- and Long-Term Disability Flexible Spending Accounts for eligible health care and dependent care expenses Family benefits such as adoption assistance and paid parental leave Defined contribution retirement plans with employer match and other financial wellness programs Educational Assistance Program About Advocate Health Advocate Health is the third-largest nonprofit, integrated health system in the United States, created from the combination of Advocate Aurora Health and Atrium Health. Providing care under the names Advocate Health Care in Illinois; Atrium Health in the Carolinas, Georgia and Alabama; and Aurora Health Care in Wisconsin, Advocate Health is a national leader in clinical innovation, health outcomes, consumer experience and value-based care. Headquartered in Charlotte, North Carolina, Advocate Health services nearly 6 million patients and is engaged in hundreds of clinical trials and research studies, with Wake Forest University School of Medicine serving as the academic core of the enterprise. It is nationally recognized for its expertise in cardiology, neurosciences, oncology, pediatrics and rehabilitation, as well as organ transplants, burn treatments and specialized musculoskeletal programs. Advocate Health employs 155,000 teammates across 69 hospitals and over 1,000 care locations, and offers one of the nation's largest graduate medical education programs with over 2,000 residents and fellows across more than 200 programs. Committed to providing equitable care for all, Advocate Health provides more than $6 billion in annual community benefits.

Take quick online surveys and earn rewards for sharing your thoughts. Join today - it's free and easy!

Applied Researcher II (AI Foundations) 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: $257,300 - $293,700 for Applied Researcher II McLean, VA: $257,300 - $293,700 for Applied Researcher II New York, NY: $280,700 - $320,400 for Applied Researcher II San Francisco, CA: $280,700 - $320,400 for Applied Researcher II San Jose, CA: $280,700 - $320,400 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 ; 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- or via email at . 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 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).

Up To $1,000 Paid Depression Study! Those who Currently Experience At Least TWO Symptoms of Depression And the Current Depressive Episode Started More Than 4 Weeks Ago May Qualify For The Study!

Take quick online surveys and earn rewards for sharing your thoughts. Join today - it's free and easy!

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. This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. 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. Key Responsibilities: Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money. 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 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 Flex your interpersonal skills to translate the complexity of your work into tangible business goals Basic Qualifications: PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 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 10 years of industrial NLP research experience Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR 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) Has worked on an LLM (open source or commercial) that is currently available for use Demonstrated ability to guide the technical direction of a large-scale model training team Experience with common training optimization frameworks (deep speed, nemo) Experience contributing to the team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs 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. Sales Territory: $273,000 - $311,500 for Distinguished Applied Researcher Cambridge, MA: $300,200 - $342,600 for Distinguished Applied Researcher McLean, VA: $300,200 - $342,600 for Distinguished Applied Researcher New York, NY: $327,600 - $373,800 for Distinguished Applied Researcher San Francisco, CA: $327,600 - $373,800 for Distinguished Applied Researcher 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 ; 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 . click apply for full job details

Up To $1,000 Paid Depression Study! Those who Currently Experience At Least TWO Symptoms of Depression And the Current Depressive Episode Started More Than 4 Weeks Ago May Qualify For The Study!

Take quick online surveys and earn rewards for sharing your thoughts. Join today - it's free and easy!

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 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: $257,300 - $293,700 for Applied Researcher II McLean, VA: $257,300 - $293,700 for Applied Researcher II New York, NY: $280,700 - $320,400 for Applied Researcher II San Francisco, CA: $280,700 - $320,400 for Applied Researcher II San Jose, CA: $280,700 - $320,400 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 ; 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- or via email at . 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 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).

Up To $1,000 Paid Depression Study! Those who Currently Experience At Least TWO Symptoms of Depression And the Current Depressive Episode Started More Than 4 Weeks Ago May Qualify For The Study!

Take quick online surveys and earn rewards for sharing your thoughts. Join today - it's free and easy!