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Basic Qualifications:
Currently enrolled in an accredited PhD Program
Completed 2nd year of PhD coursework by program start date (for example: 2nd year of PhD program completed by program start date OR qualifies, at minimum, as a 2nd year in PhD program because of completed Master’s)
Preferred Qualifications:
Completed 3rd or 4th year 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), including finetuning and pretraining
Causal Inference
Reinforcement Learning
User Behavior Modeling
Model Optimization
Team Description:
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.
New York City (Hybrid On-Site):
$200,000 - $200,000 for Applied Research PhD Intern
San Jose, California (Hybrid On-site):
$212,000 - $212,000 for Applied Research PhD Intern
. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
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.
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