Applied Researcher I

Capital One Financial

Quick summary

Work type: On-site
Location: New York, NY · McLean, VA · Cambridge, MA · San Jose, CA
Salary: $218,700–$249,600 / yr
Posted: 38 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $184k

This role $234k

$118k most similar roles pay here $264k

This role pays more than 79% of similar roles. Most pay $133,750–$233,250 — the shaded band above. At the midpoint, this role pays about $234k versus about $184k 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.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Applied Researcher I

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As an Applied Researcher I on the cutting-edge research team at COPSSC, you will work closely with a dynamic group of innovators to develop and implement advanced machine learning models. Your day-to-day responsibilities include conducting experiments, analyzing data, and fine-tuning algorithms to solve complex business problems in financial services. You will leverage Python, TensorFlow, and PyTorch to build scalable solutions that drive product innovation. Ideal candidates are not only technically proficient but also creative leaders who can navigate the nuances of legal and regulatory frameworks within the fintech domain. This role offers a unique opportunity to contribute to projects at scale, impacting millions of users while pushing the boundaries of AI research in finance.

Skills

LLM Finetuning COPSSC

What you'll do

Conduct innovative research in applied sciences and technologies.
Develop creative solutions to complex technical problems.
Lead projects from conception through implementation phases.
Stay updated with the latest advancements in relevant fields.
Collaborate on publishing research findings in academic journals.

What we're looking for

PhD in Computer Science or related field.
Strong background in machine learning and natural language processing.
Experience with large language models and finetuning techniques.
Excellent problem-solving skills and a track record of innovation.
Ability to lead projects and collaborate effectively within a team.

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