Current PhD, Applied Research Intern - Summer 2024

Capital One

Feb 8

Applications are closed

Internship
Full-time
Summer Internship
Software Engineering
Engineering
San Francisco, +1

Requirements

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.
Basic Qualifications:
Currently enrolled in an accredited PhD Program
Completed 2nd year of PhD coursework by program start date
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 in Python, PyTorch, C++, and other deep learning frameworks
Publications in leading conferences such as KDD, ICML, NeurIPs, ICLR, ACL, NAACL and EMNLP, or ICLR
Focused area of researchin one of the following areas:
LLM Pre-training
PhD focus on Natural Language Processing
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)
Publications in deep learning theory
LLM Finetuning
Ph.D. 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
Behavioral Models
PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series)
Contributions to common open source frameworks (pytorch-geometric, DGL)
Proposed new methods for inference or representation learning on graphs or sequences
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
Deep knowledge of deep learning algorithmic and/or optimizer design
Large Scale Data Preparation
Publications studying tokenization, data quality, dataset curation, or labeling

Responsibilities

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.

Capital One

Finance

Industry

10,001+

Employees

Mission & Purpose

At Capital One, we’re changing banking for good. We were founded on the belief that no one should be locked out of the financial system. We’re dedicated to helping foster a world where everyone has an equal opportunity to prosper. We’re a bank. But we don’t think like one. We’re always thinking about what’s next. About how we can innovate. Inspire. And develop the tools our customers need to improve their financial lives. That’s where you come in. Your ideas, your experiences and your skills will help us make banking simpler. Working here is about doing bold things. And having that feeling like you belong right where you are. Because we’re doing cool work that lets you have a life outside of work. That’s life at Capital One.