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Current PhD, Applied Research Internship Program - Summer 2027
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What they do
A Deep Learning Engineer designs, deploys, and optimizes deep learning models and algorithms. Responsibilities include training models using frameworks such as TensorFlow, PyTorch, and Keras, as well as evaluating models for accuracy. May work closely with data scientists, software engineers, and other stakeholders to develop solutions that meet business needs.
$171,345 / year median in California
Job Description
- Summer 2027 At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good.
- 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 (https://www.capitalonecareers.com/a-hybrid-work-model-at-capital-one-101#:~:text=How%20our%20hybrid%20model%20works,independent%20and%20heads%2Ddown%20work.)
Basic Qualifications:
+ Currently enrolled in an accredited PhD Program + 1st year of PhD coursework must be completed by June 2027Preferred 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 SystemsTeam Description:
- The AI Foundations team is at the center of bringing our vision for AI at Capital One to life.
- powered products that change how customers interact with their money.
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 Intern New York, NY:
$209,000- $209,000 for
Applied Research PhD Intern San Jose, CA:
$209,000- $209,000 for Applied Research PhD Intern 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.
Benefits
- Dental Insurance