Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning)

Capital One Financial

Quick summary

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

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $210k
This role $234k
$162k most similar roles pay here $267k

This role pays more than 64% of similar roles. Most pay $174,800–$246,150 — the shaded band above. At the midpoint, this role pays about $234k versus about $210k 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 I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning)

Join our dynamic team as a Senior Machine Learning Engineer, where you will lead the development of cutting-edge AI solutions for large-scale financial data analysis. Your day-to-day responsibilities include finetuning models to enhance accuracy and efficiency, preparing complex datasets for machine learning tasks, and collaborating with cross-functional teams to solve intricate business problems. Ideal candidates possess strong expertise in Python and are familiar with frameworks like TensorFlow or PyTorch. Experience with natural language processing and legal domain knowledge is a significant plus, as the role involves working closely with financial regulations and compliance data at scale.

What you'll do

  • Develop innovative solutions using cutting-edge technology.
  • Lead projects from conception to completion, ensuring technical excellence.
  • Fine-tune models to improve performance and accuracy continuously.
  • Prepare high-quality data sets for machine learning applications.
  • Stay updated with the latest advancements in AI and data science.

What we're looking for

  • Minimum 5 years of relevant experience in technical leadership roles.
  • Proven track record of innovation and creativity in solving complex problems.
  • Strong background in data preparation and model finetuning.
  • Experience with COPSSC framework or similar technologies.
  • LLM qualification preferred for advanced legal technology applications.
  • Excellent technical skills and ability to lead teams effectively.

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