Applied Researcher II (AI Foundations)

Capital One Financial

Quick summary

Work type: On-site
Location: New York · McLean, VA · Cambridge, MA · San Jose, CA
Salary: $262,500–$299,600 / yr
Posted: 95 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $208k

This role $281k

$155k most similar roles pay here $315k

This role pays more than 91% of similar roles. Most pay $170,750–$246,237 — the shaded band above. At the midpoint, this role pays about $281k versus about $208k 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 work at a senior level to innovate and lead in cutting-edge research projects. Your day-to-day responsibilities include developing novel machine learning models and techniques, with a focus on large language model (LLM) fine-tuning for specific applications such as customer support systems. You will collaborate closely with other researchers and engineers to solve complex business problems at scale. The ideal candidate is an innovative thinker who excels in technical problem-solving and possesses deep expertise in machine learning frameworks like PyTorch or TensorFlow, along with proficiency in Python. Experience with large language models and their fine-tuning for specific domains is highly valued, making this role perfect for those passionate about advancing AI capabilities in real-world scenarios.

Skills

LLM Finetuning COPSSC

What you'll do

Conduct cutting-edge research in AI foundations to advance machine learning capabilities.
Develop and implement novel algorithms for large language models (LLMs).
Fine-tune existing models to improve performance on specific tasks.
Stay updated with the latest advancements in natural language processing (NLP) techniques.
Collaborate on projects that require deep technical expertise in AI.

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.
Proficiency in natural language processing techniques.
Leadership skills and ability to innovate in technical projects.

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