Applied Researcher II (AI Foundations)

Capital One Financial

Quick summary

Work type: On-site
Location: New York, NY · San Francisco, CA · McLean, VA · Cambridge, MA · San Jose, CA
Salary: $262,500–$299,600 / yr
Posted: 81 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $209k

This role $281k

$156k most similar roles pay here $315k

This role pays more than 91% of similar roles. Most pay $172,500–$246,237 — the shaded band above. At the midpoint, this role pays about $281k versus about $209k 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 498 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 495 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Applied Researcher II (AI Foundations)

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As an Applied Researcher II on the AI Foundations team, you will engage in cutting-edge research to advance foundational models and techniques. Your daily tasks include developing novel algorithms, conducting experiments, and collaborating with cross-functional teams to solve complex problems at scale. Ideal candidates possess expertise in machine learning frameworks such as PyTorch or TensorFlow, proficiency in Python, and a strong background in natural language processing (NLP). The role requires an innovative mindset and the ability to lead projects from conception to deployment, contributing significantly to the company’s mission of advancing AI research.

Skills

Python TensorFlow PyTorch Jupyter Git GitHub CI/CD Docker Kubernetes AWS Google Cloud Platform Azure PostgreSQL MongoDB Scikit-learn Pandas NumPy Matplotlib Seaborn

What you'll do

Conduct advanced research in AI foundations to develop innovative solutions.
Design and implement machine learning models to solve complex problems.
Analyze large datasets to extract meaningful insights and patterns.
Publish research findings in peer-reviewed journals and conferences.
Mentor junior researchers and contribute to the development of new technologies.

What we're looking for

PhD in Computer Science, Electrical Engineering, or related field.
Strong background in machine learning and AI research.
Experience with large language models (LLM) development.
Proficient in natural language processing techniques.
Ability to innovate and lead technical projects.

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