Applied Researcher IV

Capital One Financial

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: San Jose, CASan Francisco, CAMcLean, VACambridge, MANew York, NY
Salary: $218,700–$249,600 / yr
Employment: Full-time
Posted: 6 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $219k

This role $234k

$191k most similar roles pay here $256k

This role pays more than 74% of similar roles. Most pay $198,743–$239,425 — the shaded band above. At the midpoint, this role pays about $234k versus about $219k for comparable roles.

Based on 240 similar postings.

Employer

About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 936 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 933 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Applied Researcher IV

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As an Applied Researcher 4 (AI Foundations, VLM), you will join the AI Foundations team to develop trustworthy and reliable AI systems for banking applications. You will collaborate with a cross-functional team of data scientists, software engineers, and product managers to build AI foundation models through every phase of development, including design, training, evaluation, validation, and implementation. Your daily work involves uncovering insights within large volumes of numeric and textual data while translating complex research into tangible business goals. You will utilize a technical stack featuring PyTorch, AWS Ultraclusters, Huggingface, and Lightning to advance the state of the art in AI. The role focuses on solving problems related to large deep learning models involving language, images, events, or graphs, specifically addressing challenges like training optimization, self-supervised learning, robustness, explainability, and RLHF.

Skills

Pytorch AWS Huggingface Lightning LLM NLP Deep Learning RLHF Self-Supervised Learning Quantization Model Sparsification Training Optimization Compiler Design Machine Learning

What you'll do

Build AI foundation models through all phases of development including design, training, evaluation, and implementation.
Conduct high-impact applied research to integrate state-of-the-art AI developments into customer experiences.
Analyze large volumes of numeric and textual data using tools like PyTorch, Hugging Face, and AWS.
Translate complex technical research into tangible business goals for stakeholders and product managers.
Prepare internal technical reports or conference submissions summarizing novel methods and findings.
Identify and solve large, undefined problems by researching and evaluating emerging technologies.
Develop scalable models and production-level code to handle high volumes of training data and inference.

What we're looking for

Must have a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or a related field.
Alternatively, must have an M.S. in a relevant technical field plus 2 years of experience in Applied Research.
Experience building large deep learning models and expertise in training optimization, self-supervised learning, robustness, explainability, or RLHF.
Proven track record of delivering models at scale for both training data and inference volumes.
Experience developing AI foundation models using open-source tools and cloud computing platforms.
Ability to deliver libraries, platform-level code, or solution-level code to existing products.
Track record of high-quality ideas in machine learning, such as first-author publications or significant projects.
Ability to independently own a research agenda and carry out long-running projects.

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