Applied Researcher II (AI Foundations, LLM Core and Agentic AI)

Capital One Financial

Quick summary

Work type: On-site
Location: San Jose, CA
Salary: $262,500–$299,600 / yr
Posted: 40 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $211k

This role $281k

$156k most similar roles pay here $315k

This role pays more than 90% of similar roles. Most pay $176,000–$246,150 — the shaded band above. At the midpoint, this role pays about $281k versus about $211k 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, LLM Core and Agentic AI)

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As an Applied Researcher II on the AI Foundations team, you will focus on advancing large language model (LLM) core technologies and agentic AI capabilities. Your day-to-day responsibilities include developing innovative behavioral models, fine-tuning existing LLMs to enhance their performance, and collaborating with cross-functional teams to solve complex business problems at scale. The ideal candidate possesses a strong background in machine learning, particularly experience with large language models and behavioral modeling techniques. Proficiency in Python and familiarity with frameworks like PyTorch or TensorFlow are essential. This role requires an individual who is not only technically adept but also creative and capable of leading initiatives that push the boundaries of AI research.

Skills

LLM Python Kubernetes Terraform Docker CI/CD Prometheus Grafana PostgreSQL AWS Git Scikit-learn TensorFlow PyTorch

What you'll do

Conduct advanced research in AI foundations and large language models (LLMs).
Develop innovative behavioral models for enhanced AI capabilities.
Implement and refine techniques for fine-tuning AI systems.
Lead projects related to agentic AI, focusing on autonomous decision-making.
Collaborate on the creation of cutting-edge AI technologies and applications.

What we're looking for

PhD in Computer Science or related field with focus on AI and machine learning.
Strong background in large language models (LLM) and behavioral modeling.
Experience in fine-tuning and optimizing AI systems for performance.
Proven ability to innovate and lead technical projects in AI research.
Excellent problem-solving skills and a creative approach to complex challenges.

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