Research associate jobs in Reston, VA - 638 jobs

A leading public affairs agency in Washington, DC seeks a Director for their Insights research team. This role involves managing consumer insights, corporate, and market research projects, requiring 6-8 years of relevant experience. Candidates must excel in project management, client engagement, and have a background in both quantitative and qualitative methods. A comprehensive benefits package and discretionary bonus are included. #J-18808-Ljbffr

A national public interest group is seeking a Research Director to monitor and expose the abuses of the Trump administration. This role requires a strategic agenda focusing on corporate ties and conflicts of interest. Candidates should possess a minimum of 10 years of research and writing experience, along with excellent research and analytic skills. The position offers a salary range of $105,789-$129,080 along with a generous benefits package including medical coverage, paid vacation, and more. #J-18808-Ljbffr

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 high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR 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: $214,500 - $244,800 for Applied Researcher I McLean, VA: $214,500 - $244,800 for Applied Researcher I New York, NY: $234,000 - $267,000 for Applied Researcher I San Francisco, CA: $234,000 - $267,000 for Applied Researcher I San Jose, CA: $234,000 - $267,000 for Applied Researcher I 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 ************** or via email at RecruitingAccommodation@capitalone.com. 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).

A leading market research firm is seeking a Principal-level market research professional to enhance Customer Insights capabilities. This role requires a post-MBA researcher with strong methodological skills, responsible for leading complex market research projects, and guiding teams through advanced analyses. The ideal candidate will possess a deep understanding of market research methodologies and demonstrate the ability to translate insights into actionable recommendations. Competitive compensation and a collaborative environment are provided. #J-18808-Ljbffr

Manufactures cell and gene therapies for phase I and II clinical trials; (2) processes hematopoietic stem cell grafts for transplantation; (3) develops new cell therapies; (4) performs in-process and lot release testing of cell and gene therapies; (5) develops new assays to test cell and gene therapies; and (6) prepares chemistry, manufacturing, and controls (CMC) documents for investigational new drugs (IND) and summary data for annual reports to the Food and Drug Administration (FDA). ROLES / RESPONSIBILITES Build and optimize a robust cGMP compliant platform for generation, expansion and cryopreservation of autologous induced pluripotent stem cells (iPSCs) from peripheral blood derived CD34+ cells. Differentiate iPSCs to retinal pigment epithelial cells (RPE) to develop an iRPE patch for a phase I clinical trial to treat "dry" age related macular degeneration. Update and validate SOPs related to CD34 expansion, iPSC culturing, and RPE differentiation Manage a day to day operation of GMP facility Maintain iPSC colonies and freeze their early passages. GMP and aseptic culturing of iPCSs and differentiation of patient iPSCs into Retinal pigment epithelium (RPE) and maintenance of those RPE cultures. This work will include: Preparing media, supplements, and reagents needed cell culture work. Maintaining the cell culture room biosafety level 2 standards and maintaining aseptic conditions in cell culture flow hoods, incubators, and prepare sterile tools needed for work with cell cultures. The cell culture maintenance work will require working for short periods of times on the weekends and some holidays. Work to characterize the iPSC colonies for their pluripotency. This will require: Immunostaining of iPSCs, preparing RNA and cDNA from iPSCs, and Performing qRT-PCR assays. Additionally they will perform three germ layer assay based functional characterization of iPSCs. This work will also include any cell types that act as control for his iPSC work. Prepare regulatory documents for FDA and technology transfer Coordinate transfer of lab-technology to Good Manufacturing Practice (GMP suite) Develop Standard Operating Procedures (SOPs) with the Contract Research Organization (CRO) in relation to the cell therapy project. DESIRED BACKGROUND · Prior cell culture experience is required · Prior experience working in a cGMP environment is required

Join one of the most influential, most quoted and most trusted think tanks! The Brookings Institution is a nonprofit public policy organization based in Washington, DC. Our mission is to conduct in-depth research that leads to new ideas for solving problems facing society at the local, national and global level. We bring together leading experts in government and academia from all over the world, rooted in open-minded inquiry and representing diverse points of view, who provide the highest quality research, policy recommendations, and analysis. Research topics cover a full range of public policy issues in economics, foreign policy, development, governance and metropolitan policy. With fair and transparent business practices, clear communication, mutual respect, and a collaborative atmosphere that offers both professional and personal development opportunities, Brookings offers an inclusive and welcoming workplace that values the efforts of all contributors. About the Economic Studies Program: The Economic Studies program analyzes current and emerging economic issues facing the United States and the world and, based on that research, provides innovative, practical policy recommendations. ES's work covers a broad array of economic issues, including economic growth, economic opportunity and mobility, the labor market, regulation, health policy, the environment, tax policy, retirement policy, and fiscal and monetary policy. Economic Studies scholars influence key economic policies by conducting rigorous and relevant research and then disseminating and communicating their findings to the policy community and to the broader public. About The Hutchins Center: The mission of the Hutchins Center on Fiscal and Monetary Policy is to improve the quality and efficacy of fiscal and monetary policy and public understanding of them. It draws on the expertise of Brookings scholars and of experts in government, academia, think tanks and business. By producing and commissioning research, convening private and public events, and more, it seeks to generate new thinking, promote constructive criticism, and provide a forum for reasoned debate. Position Location: This position is hybrid. Hybrid positions combine regular in-person presence at our Washington, DC office with the option of two days of remote work each week. Please Note: This position is included in the staff bargaining unit, Brookings United, affiliated with the IFPTE Local 70 union, and is covered under the terms of the collective bargaining agreement. Responsibilities Ready to contribute to Brookings success? The Research Assistant undertakes quantitative and qualitative research and policy analysis on a broad range of fiscal and monetary policy issues, supporting the Center's scholars. This includes supporting original policy-relevant analysis and co-authored research, analyzing data and presenting findings visually and in writing (to both expert and non-expert audiences), providing research support to scholars, and assisting with the overall production of Hutchins Center work. Quantitative Analysis, Programming, and Statistical Support (45%) Under direction of senior scholars, analyze data in Excel, STATA, R, Python, and/or similar software, and present findings accurately and accessibly, both visually and in writing. Generate, maintain, and/or update tables and graphs. Update and check existing databases; assemble, consolidate, clean, and check data from new sources. Update and maintain existing Hutchins Center priority projects, like the Fiscal Ship federal budget simulation game and the monthly Fiscal Impact Measure interactive. Research Assistance and Writing (45%) In collaboration with senior scholars, write summaries of research results, for incorporation into newsletters, working papers, and project publications. Draft text for newsletters, blogs, explainers, and other styles of publication. Provide analytical reviews and summaries of existing literature pertinent to projects. Locate and collect relevant documents and data from sources such as online databases, libraries, and government publications. Compile, read, summarize, and organize written material into bibliographies and literature reviews. Fact-check publications of all types to be published on brookings.edu. Contribute to weekly Hutchins Round-up newsletter highlighting new research in fiscal and monetary policy. Project Support (10%) Assist with event preparation and logistics, and provide day-of support as requested. Develop and maintain comprehensive process documentation and well-organized project folders. Assist with special projects and perform other duties as assigned. Qualifications Ready to make an impact? In this role, you will support Brookings values of collegiality, respect, inclusion, diversity and community, and bring the following qualifications: Education/Experience Requirements Bachelor's degree in Economics, Mathematics/Statistics, Public Policy, or other Social Sciences with a minor in Economics required. Research experience in economics, policy research, and/or computer modeling preferred but not required; experience can come from part-time work, work in a college setting, or internships. Competence to undertake research assignments with little supervision required. Must be authorized to work for any employer in the U.S. Please note that Brookings does not support the OPT STEM extension. Preferred start date is between June 1 and August 1, 2026. The starting annual salary is $58,000. More information about being a research assistant in Economic Studies may be found here. Knowledge/Skill Requirements Strong computer skills and experience required. Experience handling large data sets and models preferred. Independent research experience preferred. Experience with software such as STATA, R or other econometric packages required. Application Procedure Please read and follow all application procedures carefully. Incomplete applications will not be considered. Applications will be reviewed on a rolling basis and only those selected for an interview will be contacted. A complete application will include ALL of the following items: Current resume Cover letter A copy of your latest (unofficial) undergraduate transcript (and a graduate transcript if applicable) If you are submitting an international transcript, please be sure to include a Grade Key Two letters of recommendation from professors or past employers/supervisors (at least one letter of recommendation should be academic, the second can be academic or professional). Please have your recommenders send their letters directly to Stephanie Cencula. Have Questions? Please review our FAQs here. If you have additional questions, contact Stephanie Cencula. Additional Information What can we offer you? Brookings provides a generous benefit package that is comprehensive and includes both traditional benefits and unique offerings. Our comprehensive benefits package includes medical, dental, and vision benefits, generous time off, and workplace flexibility. For more information, please visit Brookings Benefits. Brookings requires that all applicants submit a cover letter and resume. Please attach your cover letter and resume as one document when you apply. Please note: if you have applied to more than one Brookings job opening you should add a position-specific cover letter as a separate attachment. Successful completion of a background investigation is for employment at Brookings. Brookings welcomes and celebrates diversity in all its forms, including diversity of experience, thought, and personal background. We welcome applications that reflect a variety of backgrounds based on ideology, race, ethnicity, religion, national origin, gender, sexual orientation, gender identity or expression, disability, veteran status, first generation college goers, and other factors protected by law. Brookings is proud to be an equal-opportunity employer that is committed to promoting a diverse and inclusive workplace. All selection decisions are based upon merit, skills, abilities and experience.

We're a national Wireless Preferred Retailer with 200+ retail stores across the U.S. Since '93, we've been providing superior service and quality wireless products featuring the latest in technology. As a recognized leader in the wireless retail industry, we consistently deliver the solutions and service our customer's demand! Do you think you have what it takes to be an Archer? If so, keep reading! Arch Telecoms Mobile Associates (MA) work as part of a Retail Team to bring the brand to life. They live and breathe the brand and Arch Telecoms Core Values. Our MAs are brand ambassadors, they create energy and excitement around our products and services. They thrive in a fast-paced fun environment where customer needs are their first focus. They immerse themselves in meaningful connections with our customers by building new and deepening existing relationships. They continuously work to build expertise in uncovering our customers needs and have a passion to educate, demonstrate and recommend device and service solutions. This role is a learning role, where you will be expected to work with your team to build required skills and expertise in preparation for a promotion to Mobile Expert upon training completion. What you'll do in your role? Learn and build proficiency in customer service, while concurrently providing a best in class customer experience and building loyalty by: * Helping customers pick up right where they left off in their shopping journey, whether online, through Customer Care or in-store * Exploring individual needs and providing hands-on demonstrations of the latest and greatest technology in-store. * Side-by-side selling to find personalized solutions beyond the bare-bones device and service plan that keep our customers connected to the people and lifestyle they love, including anything from unique accessories to up and coming Internet of Things (IOT) devices. * Guide your customers through their purchasing experience thoughtful questions, informative answers and sharing your expertise. Approaching service and sales needs with patience, honesty, and empathy. Become proficient in the use of digital tools designed to enhance interactions and onboarding to actively demonstrate: * How our ever-expanding coverage stacks up in our customers neighborhood, providing them with a lightning fast LTE network! * Why plans and services will let our customers live unlimited, feel the love, stay connected and go further. * How were redefining how wireless is done, down to device and account inspection, review and troubleshooting. Complete training on in-store experience, new skills and processes, knowledge of systems and reference resources. Build relationships with and partner with employees across channels, including business and customer service to: * Collectively own the customer experience and resolve issues, creating a seamless, run-around-free environment. * Successfully identify and handoff small business leads. * Develop strong peer relationships where we are all accountable for the companys success. * Be willing to have a good time while providing first class customer experience The ideal candidate will bring: * A strong desire to learn and master the skills required of our customer advocates and to build meaningful connections with our customers. * Competitive drive and demonstrates the confidence to succeed in a fast-paced sales environment. * Willingness to work alongside peers and store leaders, learning and sharing best practices, while serving customers and providing resolutions to issues. * Effective at balancing customer experience and performance goals. * 6 months of customer service and/or sales experience, Retail environment preferred Whats in it for you? * Employee Stock Ownership Program (ESOP) * Competitive hourly pay * Uncapped commission earnings * Automatic raises when reaching attainable milestones * Exciting opportunities for career advancement * A culture of care & excellence * Health Benefits for Full Time Employees * BONUSES: Monthly sales incentive programs, contests, rewards and more. What must haves do you need? * Be at least 18 years of age * High school degree or GED * Ability to stand for long periods of time * Ability to lift objects weighing up to 25lbs * Reliable transportation * Full Time (40 hours) or Part Time (20+ hours) availability Diversity & Inclusion is a foundational principle of Arch Telecom. Embracing a diverse workforce is a significant contributor to our success as an organization. Employees with diverse perspectives, backgrounds, and experiences allow us to better reflect the communities whom we serve and result in a superior customer and employee experience. We embrace the diversity that makes our employees unique, and we welcome everyone to our team. YOU BE YOU! Apply Now: ******************* Inquiries: **************************

Every day, our team members do amazing things in pursuit of our shared purpose to build trust with our clients, partners, subcontractors, and teammates. No matter your background, education, or career path, if you share our vision to create extraordinary experiences, you belong at HITT. Research Associate Job Description: We are seeking a Research Associate to support and advance HITT's research and reporting efforts. The primary responsibility of this role is collecting and analyzing data, then translating the research into meaningful reporting. As part of the Chief of Staff team, you will monitor industry trends and economic indicators, track company performance, and deliver insights that help the organization anticipate and respond to changes in the market. This includes producing recurring reporting deliverables and dashboards, as well as ad-hoc analysis that is accurate, clear, and actionable for timely strategy discussions and special projects. This position reports to the Operations, Senior Associate Chief of Staff, positioning research and reporting closely alongside enterprise business planning and strategy. The ideal candidate is an analytical thinker and strong writer who thrives in a fast-paced environment and enjoys working with data. They demonstrate the ability to translate complex concepts into clear, accessible terms and have a strong attention to detail to ensure the production of polished, high-quality outputs for both internal and external audiences. Responsibilities Corporate Reporting * Coordinates and prepares the bi-annual board report, including data collection, writing, editing, and formatting deliverables in Adobe InDesign and PowerPoint * Conducts ad hoc business research and analysis to support decision-making, special projects, and strategy development at the request of our principal leadership team (PLT) * Supports the development of processes and workflows that improve the efficiency and consistency of research and reporting * Assists with the upkeep of operations market insights, collaborating with the Operations Senior Associate Chief of Staff to provide accurate, timely information and highlight potential risks Market Research & Analysis * Monitors industry and economic trends by proactively tracking data sources, reviewing publications, and analyzing market activity * Prepares bi-annual market reports that synthesize research and analysis of global and U.S. markets, economic trends, material pricing, and industry conditions * Assists with the preparation of presentations and other content that translate research findings into clear, actionable insights for internal and external audiences * Maintains a library of research resources and data to ensure information is organized, current, and easily accessible for reporting needs Qualifications * A four-year degree from an accredited university is preferred * A minimum of 2-4 years of related experience in research, data analysis, project management, or related fields * Foundational knowledge of commercial construction and real estate markets, including awareness of factors such as material pricing, supply chains, and economic conditions, is preferred * Software proficiency-advanced level of proficiency with: * Microsoft Office suite (i.e., Excel, Word, Outlook, PowerPoint, etc.) * Adobe InDesign (and other Creative Cloud platforms) * Familiarity with CoStar * Proven track record of multitasking projects and meeting deliverables in a fast-paced environment * Tech savviness, an eye for detail, and meticulous organization skills * A high level of professional maturity and a solid work ethic HITT Contracting is an equal opportunity employer. We are committed to hiring and developing the most qualified individuals based on job-related experience, skills, and merit. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other protected characteristic. We value a respectful, inclusive workplace where everyone has the opportunity to succeed. HITT Contracting maintains a drug-free workplace, consistent with applicable local, state, and federal laws.

American University is a student-centered research institution located in Washington, DC, with highly-ranked schools and colleges, internationally-renowned faculty, and a reputation for creating meaningful change in the world. Learn more about American University Department: School of Public Affairs Time Type: Full time FLSA Status: Exempt Job Description: The School of Public Affairs at American University is seeking applications for a full-time research associate (who would be appointed at the rank of Research Assistant Professor) to begin in December 2025 or earlier, as possible. The Research Associate will to conduct rigorous and timely policy research and analyses to support the work of the Postsecondary Education & Economics Research (PEER) Center. The PEER Center, led by Professors Jordan Matsudaira at SPA and Stephanie Cellini at George Washington University, generates actionable research to promote more equitable outcomes in education beyond high school. The PEER Center also works to train higher education researchers to more effectively engage with and impact state and federal policy. PEER Center staff engage in rigorous research related to postsecondary costs and finance, accountability, value, and student success; and engage in efforts to connect this work directly to the policymaking process. The Research Associate will engage in rapid-response analysis to inform timely state and federal policy development, as well as having the opportunity to engage in longer-term research. Candidates should have a master's degree or Ph.D. in economics, public policy, or a related field; at least three years of relevant work experience in federal and/or state higher education policy; and a successful track record of empirical analysis with demonstrated data skills. Familiarity with higher education and workforce data and research (including Stata and/or R), quantitative methods for policy analysis, and strong communication and writing skills are required. An understanding of key legislative and regulatory policy levers and applying academic research to policy problems are a plus. There is no teaching associated with this position. This is a term faculty, non-tenure track position with the rank of Research Assistant Professor and the title of Research Associate. The initial appointment is for 12 months, and can be renewed annually. The salary range for the research associate position is $70,000-$110,000. The salary for this position will be wholly generated through externally funded research activities. We have a strong preference for candidates willing to work in Washington, D.C., though we will consider applications from qualified researchers located outside D.C. Review of applications will begin immediately and will continue until the position is filled, subject to ongoing budgetary approval. Please submit applications via Workday, please include a cover letter, curriculum vitae, a brief writing sample (5 pages or less), and the name and contact information for three professional references. References will not be contacted without advance notice. Please email ******************** if you have any questions. Benefits AU offers a competitive benefits package including a 200% matching retirement plan, tuition benefits for full-time staff and their families, several leadership development certificates, and has been recognized by the American Heart Association as a fit-friendly worksite. Click here to learn about American University's unique benefit options. Other Details * Hiring offers for this position are contingent on successful completion of a background check. * Employees in staff positions at American University must deliver their services to the university from either the District of Columbia, Maryland, or Virginia, or perform work on-site at the university. * Please note this job announcement is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. * American University is an E-Verify employer. Current American University Employees American University current employees must apply through their employee Workday account. If you are a current employee at American University, please log into Workday and select the Find Jobs report which will take you to our internal career listings. Contact Us For more information or assistance with the American University careers site, email ************************. American University is an equal opportunity, affirmative action institution that operates in compliance with applicable laws and regulations. The university does not discriminate on the basis of race, color, national origin, religion, sex (including pregnancy), age, sexual orientation, disability, marital status, personal appearance, gender identity and expression, family responsibilities, political affiliation, source of income, veteran status, an individual's genetic information or any other bases under federal or local laws (collectively "Protected Bases") in its programs and activities.

Research Faculty - (250001A5) Description Research Faculty hold a greater than > 0.50 FTE position at Children's National Hospital and must meet the requirements for a full Faculty appointment at the George Washington University, School of Medicine and Health Sciences, with the expectation for developing and conducting research and securing outside grant and contract fundings for scholarly research activities. The faculty member is responsible for generating and testing hypotheses related to a field of research by initiating, carrying out and managing research projects/programs supported by external, peer-reviewed sources. The individual may also be responsible for other job-specific academic and service activities, supervising and advising laboratory, graduate and post-doctoral staff and students, developing educational programs and teaching assignments and publishing in recognized, peer-reviewed journals, and/or presenting at conferences or symposiums. The research faculty member participates actively as a member of the Children's National Research Institute community: on administrative committees, search committees, strategic indicatives, and student advising. Qualifications Minimum EducationDoctor of Philosophy (Ph.D.) (Required) OrMedical Doctor (M.D.) (Required) OrMinimum Work Experience2 years Progressive specialized experience in a field of research. (Required) Required Skills/KnowledgeDemonstrated potential to make unique contributions in their research field.Strong interpersonal and communication skills and the ability to work effectively with a wide range of constituencies.Demonstrated ability to secure external funding, develop manuscripts and deliver presentations.Functional AccountabilitiesResponsible Conduct of Research Consistently demonstrates adherence to the standards for the responsible conduct of research. Plans, conducts and manages research projects within federal and institutional regulations and policies under the direction of the principal investigator. Uses research funds and resources appropriately. Maintains confidentiality of data as required. Meets all annual job-related training and compliance requirements. Commitment to Research Plan and conducts original and /or assigned research of significant scientific value in the basic and/or translational science area(s) relevant to practice specialty. Participates in reviewing manuscripts for peer-reviewed journals. Publishes in peer-reviewed, scientific, quality and management journals. Submits applications for grants or contracts for funding of research projects. Participates in research committees, workshops and special interest groups. Collaborate with research teams, industry stakeholders and government agencies Responsible for managing and supervising research staff and assisting post-graduate, graduate and undergraduate fellows and students in area of expertise. Teaching Participates in educational programs and teaching assignments. Mentors graduate and post-doctoral students. Supervises staff and students. Teamwork/Communication Performance Improvement/Problem-solving Cost Management/Financial Responsibility Safety Primary Location: District of Columbia-WashingtonWork Locations: CN Hospital (Main Campus) 111 Michigan Avenue NW Washington 20010Job: Research Faculty / PostdocOrganization: COE Hospital-Based SpecliatiesPosition Status: R (Regular) - FT - Full-TimeJob Posting: May 6, 2025, 4:34:27 PMFull-Time Salary Range: 100000 - 300000

Job Description The Business Process Reengineering and Operations Research & Systems Analysis (ORSA) Specialist is a critical advisor and subject matter expert who leverages expertise in both process improvement methodologies and ORSA to optimize DASADEC's operations and strategic decision-making within the Army Security Assistance Enterprise (ASAE). This role focuses on driving efficiency, transparency, and responsiveness in support of U.S. Army Foreign Military Sales (FMS) and Security Cooperation programs. Duties and Responsibilities: Business Process Reengineering: Lead BPR Initiatives: Spearhead the analysis, redesign, and implementation of critical business processes within DASADEC and across the ASAE, utilizing methodologies such as Lean Six Sigma, to eliminate bottlenecks, reduce redundancy, and enhance overall efficiency. Facilitate Process Mapping and Analysis: Conduct comprehensive process mapping exercises to visually represent current workflows, identify areas for improvement, and develop streamlined future-state processes. Develop and Implement Standardized Procedures: Establish and document standardized operating procedures (SOPs) and process guidelines to ensure consistency, clarity, and compliance across all DASADEC functions. Change Management and Training: Lead change management initiatives related to process improvement projects, providing training and support to DASADEC personnel to ensure successful adoption of new processes. Operations Research & Systems Analysis: Conduct Complex Data Analysis: Apply advanced statistical analysis, modeling, and simulation techniques to analyze large datasets related to security assistance programs, identifying trends, patterns, and areas for improvement. Develop Quantitative Models: Design and build mathematical models to simulate and evaluate the impact of proposed policy changes, resource allocation decisions, and process improvements on DASADEC's overall performance. Execute FMS Performance Reviews: Conduct recurring FMS performance reports, prepare for and manage recurring performance review forums, and conduct root cause analysis deep dive analytics to diagnose key drivers of performance challenges Provide Data-Driven Recommendations: Present findings and recommendations based on ORSA analyses to senior leadership, providing actionable insights to inform strategic decision-making related to security cooperation programs. Stay Abreast of ORSA Advancements: Continuously research and remain current on the latest developments in ORSA methodologies, tools, and technologies to ensure the application of cutting-edge techniques within DASADEC. Advisory and Consultative Role: Advise Senior Leadership: Serve as a trusted advisor to high-level managers within DASADEC, providing expert guidance on the application of quantitative approaches to solve complex problems and improve decision-making. Consult with Internal Stakeholders: Act as a consultant to various branches and directorates within DASADEC, offering expertise in process improvement, data analysis, and ORSA to support their specific needs. Collaborate with External Partners: Liaise with external stakeholders, including other government agencies and international partners, to share best practices, coordinate efforts, and enhance interoperability in security assistance operations. Required Qualifications: BPR Expertise: Proven experience leading and implementing successful business process reengineering (BPR) projects, preferably within a government or defense context. ORSA Proficiency: Strong understanding of and practical experience applying operations research and systems analysis (ORSA) techniques, including statistical modeling, simulation, and optimization. Data Analysis Skills: Advanced proficiency in data analysis tools and techniques, with the ability to manipulate and interpret large datasets to extract meaningful insights. Communication and Presentation Skills: Exceptional written and verbal communication skills, with the ability to effectively convey complex information to both technical and non-technical audiences. Collaboration and Teamwork: Demonstrated ability to work effectively in a collaborative, team-oriented environment, building consensus and fostering strong relationships with stakeholders. Education and Experience: Master's degree in Operations Research, Industrial Engineering, Statistics, or a related field. Lean Six Sigma Black Belt certification highly desirable. Significant experience working with security assistance programs and/or in a government/defense setting preferred. Expert Experience in Security Assistance Platforms (i.e. Defense Security Assistance Management System, Security Cooperation Information Portal, USASAC's Common Operating Portal)

The Intelligent Systems Division at NIST is investigating the performance of 3D vision systems for various manufacturing and automation applications. The research will focus on conducting experiments and analyzing data to understand these systems' performance. This will support the development of performance metrics for these systems for various industrial applications. Duties: The duties will be tailored to fit the applicant's qualifications, and the applicant will be trained on the use of certain systems needed for the following possible duties: ? Conduct experiments to realize several existing and novel test methods for 3D vision systems. ? Research the effects of various physical properties of an object and sensor settings on the test metrics. ? Program collaborative robot arms for conducting various automation tasks. ? Use metrology systems (e.g., laser trackers, CMMs, etc.) for establishing reference measurements. ? Use analysis software (e.g., Python, MATLAB, Spatial Analyzer, Polyworks, Excel, etc.) to interpret results and produce visualizations. ? Write reports and contribute to peer-reviewed publications. ? Work with commercial bin-picking systems. ? Assist in the development of demonstrations for trade shows and conferences. ? Writ e reports and contribute to peer-reviewed publications. ? Work schedule: On-campus (Gaithersburg, MD), Full-time (40hrs/week) Not all the qualifications below are required. ? Education: Engineering majors with bachelor's/master's degree, or in final or penultimate years of bachelor's/master's degree. ? Experience with CAD software such as SolidWorks ? Experience using MATLAB and Python. ? Programming experience in one or more of the following computer languages: C++, Java ? Experience using 3D printers. ? Basic understanding of robot control theory (DH parameters, kinematics, etc.) ? Basic understanding of 3D sensors such as LiDAR or RGBD cameras ? Basic understanding of the Unix/Linux operating systems ? Working knowledge of 3D point cloud data processing techniques using Point Cloud Library (PCL - ********************** ), CloudCompare, or other similar tools What is PREP? This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest and thus requires that such institutions be the recipients of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration. A candidate hired for this position will be through the university that is associated with the NIST PREP program and will be an employee of that University. Salary: $60,000-$70,000 a year Please upload the following with your application: - CV/Resume *Please limit C.V to 3 pages only and ONLY include a valid email address for your contact info. Please DO NOT include telephone numbers, home address or photos on your resume. Privacy Act Statement Authority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c) Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) (***************************************************************************************************** which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty. PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program. Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates. Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use the information you submit for the purpose stated. Job Type: Full Time The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range. Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more: ************************************** 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 status as a protected veteran. EEO is the Law ********************************************************************************************

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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 Francisco, CA: $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 ************** or via email at RecruitingAccommodation@capitalone.com. 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).

Research Faculty - (2500038A) Description Research Faculty hold a greater than > 0. 50 FTE position at Children's National Hospital and must meet the requirements for a full Faculty appointment at the George Washington University, School of Medicine and Health Sciences, with the expectation for developing and conducting research and securing outside grant and contract fundings for scholarly research activities. The faculty member is responsible for generating and testing hypotheses related to a field of research by initiating, carrying out and managing research projects/programs supported by external, peer-reviewed sources. The individual may also be responsible for other job-specific academic and service activities, supervising and advising laboratory, graduate and post-doctoral staff and students, developing educational programs and teaching assignments and publishing in recognized, peer-reviewed journals, and/or presenting at conferences or symposiums. The research faculty member participates actively as a member of the Children's National Research Institute community: on administrative committees, search committees, strategic indicatives, and student advising. Qualifications Minimum EducationDoctor of Philosophy (Ph. D. ) (Required) OrMedical Doctor (M. D. ) (Required) Minimum Work Experience2 years Progressive specialized experience in a field of research. (Required) Required Skills/KnowledgeDemonstrated potential to make unique contributions in their research field. Strong interpersonal and communication skills and the ability to work effectively with a wide range of constituencies. Demonstrated ability to secure external funding, develop manuscripts and deliver presentations. Functional AccountabilitiesResponsible Conduct of Research Consistently demonstrates adherence to the standards for the responsible conduct of research. Plans, conducts and manages research projects within federal and institutional regulations and policies under the direction of the principal investigator. Uses research funds and resources appropriately. Maintains confidentiality of data as required. Meets all annual job-related training and compliance requirements. Commitment to Research Plan and conducts original and /or assigned research of significant scientific value in the basic and/or translational science area(s) relevant to practice specialty. Participates in reviewing manuscripts for peer-reviewed journals. Publishes in peer-reviewed, scientific, quality and management journals. Submits applications for grants or contracts for funding of research projects. Participates in research committees, workshops and special interest groups. Collaborate with research teams, industry stakeholders and government agencies Responsible for managing and supervising research staff and assisting post-graduate, graduate and undergraduate fellows and students in area of expertise. Teaching Participates in educational programs and teaching assignments. Mentors graduate and post-doctoral students. Supervises staff and students. Primary Location: Maryland-Silver SpringWork Locations: Inventa Towers 1 Inventa Place Silver Spring 20910Job: Research Faculty / PostdocOrganization: Ctr Clinical & Community RsrchPosition Status: R (Regular) - FT - Full-TimeJob Posting: Dec 15, 2025, 7:36:25 PMFull-Time Salary Range: 100000 - 300000

PREP Research Associate This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration. Research Title: Regional Economic Impact Evaluation for Post-Earthquake Functional Recovery The work will entail: The researcher will play a critical role in advancing the NIST framework for economic evaluation of recovery-based design (NIST SP 1277 (************************************* ). Functional recovery represents a paradigm shift in building design aligned with NIST's commitment to national reduction of natural hazard risk through the enhanced performance of the built environment (NIST-FEMA SP-1254 (*********************************************************************** ). To date, NIST has focused efforts on integrating engineering design and economic evaluation to enhance post-earthquake reoccupancy and functional recovery times for new buildings (recovery-based design). The researcher will help NIST to extend current efforts to evaluate the regional economic impact of designing new buildings and retrofitting existing buildings to achieve enhanced post-earthquake functionality. This is expected contribute to the advancement of guidelines, codes, and standards for designing buildings to achieve recovery-based performance objectives. Key responsibilities will include but are not limited to: § Support NIST development, implementation, and validation of a Computable General Equilibrium (CGE) model for regional economic impact analysis of implementing recovery-based design for new buildings and existing buildings, integrated and in collaboration with engineering models of infrastructure damage § Writing and presenting results for academic, government, industry, and general audiences § Ph.D. degree in Economics, or a related discipline. § Experience implementing CGE models and integrating engineering models § Proficiency in technical writing and presentations to research and practitioner audiences. § Experience or interest in working in a collaborative and interdisciplinary team. Salary: $120 per hour Please upload the following with your application: - CV/Resume *Please limit C.V to 3 pages only and ONLY include a valid email address for your contact info. Your resume will not be considered if the following information is included on your CV/resume. - Self portraits - Phone number - Home address/Country - Citizenship status - Languages spoken - Sex/Gender Privacy Act Statement Authority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c) Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) (***************************************************************************************************** which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty. PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program. Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates. Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated. Job Type: Part Time The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range. Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more: ************************************** 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 status as a protected veteran. EEO is the Law ********************************************************************************************

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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 Behavioral Models PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR Worked on scaling graph models to greater than 50m nodes Experience with large scale deep learning based recommender systems Experience with production real-time and streaming environments Contributions to common open source frameworks (pytorch-geometric, DGL) Proposed new methods for inference or representation learning on graphs or sequences Worked datasets with 100m+ users Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model AI Safety PhD focused on topics related to adversarial machine learning, red teaming and model alignment. Deep expertise in limit seeking security research, including deconstructing LLM architectures to identify novel attack surfaces like prompt injection, model inversion, and RAG poisoning. Proven track record of developing scalable evaluation suites and automated red teaming frameworks to move emerging academic threats into practical, real world defensive applications. Foundational research in high-stakes AI deployment, bridging the gap between AI Explainability, reliability, and the rigorous fine tuning required for real world use cases. Active contributor to the AI Safety discourse, with the ability to document technical vulnerabilities and their direct impact on model privacy, alignment, and organizational risk. 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: $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 . click apply for full job details

PREP Research Associate This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration. Research Title: Cost Estimation for Enhanced Building Performance The work will entail: The researcher will play a critical role in advancing the NIST mission to improve the quality of life through measurement science for enhanced resilience to natural disasters. The scope of work includes (1) advancing the implementation of the NIST framework for economic evaluation of recovery-based seismic design (NIST SP 1277 (************************************* ) for existing buildings; (2) developing order-of-magnitude estimates to support implementation of the NIST Hazard Mitigation Technology (HMM (*********************************************************************************************************************** ) for reducing building vulnerability to damage from Wildland-Urban Interface (WUI) fires; and (3) developing repair cost estimation models the to improve building component damage consequences within NIST's Nonstructural Element Database (NED). Key responsibilities will include but are not limited to: § Extend benefit-cost analysis of recovery-based design for new buildings to existing buildings through the development of case studies for retrofitting existing buildings for functional recovery § Develop cost estimates for the replacement or retrofit of building components to improve residential building performance from WUI fires § Develop repair cost estimate models and/or workflows that facilitate the quantification of repair costs for various non-structural building components. § Support NIST-led economic evaluation of benefits and costs of design archetypes or case studies § Writing and presenting results for academic, government, industry, and general audiences § Industry experience in construction cost estimation is required. § Proficiency in technical writing and presentations to research and practitioner audiences. § Experience or interest in working in a collaborative and interdisciplinary team. Salary: $160 per hour Please upload the following with your application: - CV/Resume *Please limit C.V to 3 pages only and ONLY include a valid email address for your contact info. Please DO NOT include telephone numbers, home address or photos on your resume. Privacy Act Statement Authority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c) Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) (***************************************************************************************************** which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty. PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program. Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates. Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated. Job Type: Part Time The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range. Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more: ************************************** 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 status as a protected veteran. EEO is the Law ********************************************************************************************