{"id":626531,"url":"https://alion.io/job/capital-one-current-phd-applied-research-internship-program-summer-2027","title":"Current PhD, Applied Research Internship Program - Summer 2027","company":{"id":5239,"name":"Capital One","domain":"capitalone.com","url":"https://alion.io/company/capitalone","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":82,"open_postings":220,"ghost_share":0.005,"stale_share":0.686,"repost_share":0.045,"time_to_fill_p50_days":30,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["New York, United States","McLean, United States","San Jose, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":191000,"max":191000,"currency":"USD","period":"year","gross":null,"usd_annual":191000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"AI Agents","optional":true},{"name":"AWS","optional":true},{"name":"Fine-tuning","optional":true},{"name":"GRPO","optional":true},{"name":"Hugging Face","optional":true},{"name":"Interpretability","optional":true},{"name":"Mixture of Experts","optional":true},{"name":"PPO","optional":true},{"name":"Pre-training","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"Recommender Systems","optional":true},{"name":"Reinforcement Learning","optional":true},{"name":"RLHF","optional":true},{"name":"Time Series","optional":true},{"name":"World Models","optional":true}],"status":"live","first_seen_at":"2026-09-08T00:00:00Z","employer_posted_date":"2026-09-08","last_verified_at":"2026-11-01T20:35:50Z","board_verified":true,"closed_at":null,"days_open":55,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":55},"description":"Current PhD, Applied Research Internship Program - Summer 2027At 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 delivering 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.\nParticipation in the program requires that you are located in the continental United States with in-person attendance at your assigned location, in accordance with Capital One’shybrid working model.\nThis is a paid internship. This is a limited-time internship position, and Capital One will not sponsor a new applicant for employment authorization for this position. However, a full-time Applied Research role, for which you may be considered upon completion of the internship (subject to business need, market conditions, and other factors) is eligible for employer immigration sponsorship.\nBasic Qualifications:\nCurrently enrolled in an accredited PhD Program\n\n1st year of PhD coursework must be completed by June 2027\n\nPreferred Qualifications:\nCompleted 2nd or 3rd of PhD Program\n\nPhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n\nProgramming experience (e.g. Python) and experience with at least one deep learning framework (e.g. PyTorch)\n\nPublications in leading conferences such as ICLR, NeurIPs, ICML, ACL, NAACL, EMNLP, KDD, or CVPR\n\nFocused area of research in one of the following areas:\nFoundation Models (Language, Vision, Graphs, Time Series and Event Sequences, Tabular), including finetuning and pre-training\n\nLLMs (Agentic AI, Reasoning, Test Time Compute Models, Mixture of Experts)\n\nReinforcement Learning (World Models, Reasoning, GRPO, PPO, RLHF)\n\nCausal Inference and Decision Making\n\nSequential User Behavior Modeling\n\nModel Inference Optimization\n\nInterpretability, Responsible/Trustworthy AI Models\n\nRecommendation Systems\n\nUncertainty Estimation\n\nAgentic Systems\n\nTeam Description:\nThe 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.\nIn this role, you will:\nJoin Capital One for a full-time, 12 week, summer applied research experience, discovering solutions to real world, large-scale problems.\n\nEngage in high impact applied research with the goal of taking the latest AI developments and pushing them into the next generation of customer experiences, or contributing to publications in this field.\n\nPartner with a cross-functional team of applied researchers, data scientists, software engineers, machine learning engineers and product managers to test and design AI- powered products that change how customers interact with their money.\n\nLeverage 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.\n\nFlex your interpersonal skills to translate the complexity of your work into tangible business goals.\n\nPartner with leading researchers to publish papers at top academic conferences.\n\nDevelop professionally through networking sessions, technical deep dives and executive speaker sessions from across Capital One.\n\nThe Ideal Candidate:\nYou love the process of analyzing and creating, but also share our passion to do the right thing. You want to work on problems that will help change banking for good.\n\nInnovative. 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.\n\nCreative. 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.\n\nTechnical. You possess a strong foundation in mathematics, deep learning theory, and the engineering required for contributing to the development of AI.\n\nDetermined. Strengthen your field of study by applying theory to practice. Bring your ideas to life in industry.\n\nThe 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.\nMcLean, VA: $191,000 - $191,000 for Applied Research PhD InternNew York, NY: $209,000 - $209,000 for Applied Research PhD InternSan Jose, CA: $209,000 - $209,000 for Applied Research PhD InternCandidates 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.\nCapital 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.\nThis role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.\nFor technical support or questions about Capital One's recruiting process, please send an email to \nCapital 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.\nCapital 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. 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