San Jose, California, United States · Hybrid
$191k–$209k/yr
Current PhD, Applied Research Internship Program - Summer 2027 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…
Skills: Python, PyTorch, Machine Learning, Deep Learning, Foundation Models
San Jose, California, United States · On-site
$216k–$281k/yr
The application window is expected to close on: 09/21/2026 Meet the Team Join Cisco's AI Platform Team to shape the future of enterprise AI. We're building next-generation infrastructure that powers intelligent, secure, …
Skills: Artificial Intelligence, Machine Learning, Python, PyTorch, TensorFlow
San Jose, California, United States · Hybrid
$147k–$161k/yr
Current Master's, AI Engineering Internship Program - Summer 2027 Key Role Details This is a full-time paid internship program spanning twelve weeks from June through August. Participation in the internship requires that…
Skills: Python, Go, Scala, Java, Machine Learning
San Jose, California, United States · On-site
$6k–$8k/mo
Job Summary The Annual Giving Officer supports the planning, execution, and evaluation of annual giving campaigns through audience segmentation, campaign management, reporting, and operational coordination. Embedded with…
Skills: Data analysis, Campaign management, Audience segmentation, Fundraising strategy, Project management
San Jose, California, United States · Hybrid
$176k–$192k/yr
Current PhD, AI Engineering Internship Program - Summer 2027 Key Role Details This is a full-time paid internship program spanning twelve weeks from June through August.Participation in the internship requires that you a…
Skills: Python, Go, Scala, Java, Machine Learning
San Francisco, California, United States · On-site
$251k–$286k/yr
Senior Lead AI Engineering (GenAI Platform Services: Agentic Systems) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry …
Skills: Artificial Intelligence, Machine Learning, Python, Go, Scala
San Jose, California, United States · On-site
$112k–$160k/yr
It's fun to work in a company where people truly BELIEVE in what they're doing! We're committed to bringing passion and customer focus to the business. If you like wild growth and working with happy, enthusiastic over-ac…
Skills: Financial planning and analysis, Budgeting, Forecasting, Financial modeling, Strategic planning
San Francisco, California, United States · On-site
$197k–$246k/yr
Lead Machine Learning Engineer (Python, GoLang, AWS) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’…
Skills: Python, GoLang, AWS, Machine learning, Data engineering
San Jose, California, United States · On-site
$166k–$308k/yr
The application window is expected to close on: 09/29/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. Meet the Team The Cisco IQ and Validation te…
Skills: Agentic AI, LLMs, Python, Go, Rust
San Jose, California, United States · Hybrid
$170k–$228k/yr
At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pu…
Skills: SEO Analytics, Data Science, SQL, Python, R
San Jose, California, United States · On-site
$130k–$241k/yr
At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Key Responsibilities: Advanced Compensation Ownership Serve as the primary configuration lead for Workday Adva…
Skills: Workday Advanced Compensation, Workday HCM, Business process design, Global deployments, Workday integrations
San Jose, California, United States · On-site
$98k–$193k/yr
Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into inte…
Skills: SSD firmware testing, Firmware validation, NVMe architecture, Storage protocols, PCIe
San Jose, California, United States · On-site
$179k–$329k/yr
The application window is expected to close on: 09/04/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. Splunk is looking for a Senior Product Manag…
Skills: Product management, AI/ML lifecycle, Model fine-tuning, Orchestration architectures, Data ingestion pipelines
San Jose, California, United States · On-site
$122k–$195k/yr
Please Note: 1. If you are a first time user, please create your candidate login account before you apply for a job. (Click Sign In > Create Account) 2. If you already have a Candidate Account, please Sign-In before you …
Skills: Silicon photonics, Reliability engineering, Failure analysis, Semiconductor characterization, Statistical analysis
San Jose, California, United States · Hybrid
$124k–$271k/yr
Immigration sponsorship is not available for this position. What you can expect You will build production machine-learning systems that predict customer growth and retention signals. You will partner across engineering,…
Skills: Python, SQL, Machine learning, MLOps, Predictive modeling
San Jose, California, United States · On-site
$171k–$356k/yr
Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into inte…
Skills: NAND flash architecture, Storage systems, Product management, Semiconductor engineering, System architecture
San Jose, California, United States · On-site
$163k–$236k/yr
Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience in product management, or a related technical role. 2 years of experience taking technical products from conception to l…
Skills: Product Management, Artificial Intelligence, Machine Learning, Data Infrastructure, Large Language Models
Santiago, Santiago Metropolitan Region, Chile · Remote Solely
<p><strong>Profile</strong>: Facebook Ads Specialist<br><strong>Location</strong>: Work from Home/Remote<br><strong>Shift</strong>: 9 a.m. to 5:30 p.m. Eastern Time<br><br></p><div>Join One of the Fastest-Growing White-L…
Skills: Facebook Ads, Digital advertising, Campaign optimization, Audience identification, Performance marketing
San Jose, California, United States · On-site
$250k–$350k/yr
The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform …
Skills: System architecture, Hardware design, Interconnect fabric, Power delivery, Thermal management
San Jose, California, United States · Remote Solely
$140k–$200k/yr
The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news artic…
Skills: Software engineering, Python, Bash, Linux, Docker
San Jose, California, United States • Hybrid
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
You will engage in a 12-week applied research internship to solve large-scale, real-world problems using advanced AI and machine learning techniques. You will collaborate with cross-functional teams to design AI-powered products and contribute to academic research publications.
Candidates must be currently enrolled in an accredited PhD program and have completed their first year of coursework by June 2027. Preferred qualifications include research experience in areas like foundation models or reinforcement learning and proficiency in Python and deep learning frameworks.
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 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.
Participation 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’s hybrid working model.
This 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.
Basic Qualifications:
Currently enrolled in an accredited PhD Program
1st year of PhD coursework must be completed by June 2027
Preferred Qualifications:
Completed 2nd or 3rd of PhD Program
PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields
Programming experience (e.g. Python) and experience with at least one deep learning framework (e.g. PyTorch)
Publications in leading conferences such as ICLR, NeurIPs, ICML, ACL, NAACL, EMNLP, KDD, or CVPR
Focused area of research in one of the following areas:
Foundation Models (Language, Vision, Graphs, Time Series and Event Sequences, Tabular), including finetuning and pre-training
LLMs (Agentic AI, Reasoning, Test Time Compute Models, Mixture of Experts)
Reinforcement Learning (World Models, Reasoning, GRPO, PPO, RLHF)
Causal Inference and Decision Making
Sequential User Behavior Modeling
Model Inference Optimization
Interpretability, Responsible/Trustworthy AI Models
Recommendation Systems
Uncertainty Estimation
Agentic Systems
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:
Join Capital One for a full-time, 12 week, summer applied research experience, discovering solutions to real world, large-scale problems.
Engage 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.
Partner 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.
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.
Partner with leading researchers to publish papers at top academic conferences.
Develop professionally through networking sessions, technical deep dives and executive speaker sessions from across Capital One.
The Ideal Candidate:
You 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.
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.
Technical. You possess a strong foundation in mathematics, deep learning theory, and the engineering required for contributing to the development of AI.
Determined. Strengthen your field of study by applying theory to practice. Bring your ideas to life in industry.
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: $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.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at 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 Careers@capitalone.com
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).
At Capital One, we're making things better for our customers and associates through innovation and collaboration. We were founded on the belief that everyone deserves financial freedom—and are dedicated to a world where all have equal opportunity to prosper. Banking is in our DNA, but we are so much more than a bank. We always think about what’s next—and how we can bring our customers the tools needed to improve their financial lives. Your ideas, experiences and skills will help make banking better. You’ll be part of a supportive culture while earning amazing benefits. That’s life at Capital One. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. View our Social Media Community Guidelines https://www.capitalone.com/digital/social-media/
Offices: 1680 Capital One Drive, McLean, Va 22102, US · 8020 Towers Crescent Dr, Vienna, VA 22182, US · 2 Bethesda METRO Center, Bethesda, MD 20814, US
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