Applied Researcher I (AI Foundations)

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: 101 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $208k

This role $234k

$161k most similar roles pay here $259k

This role pays more than 66% of similar roles. Most pay $170,750–$246,237 — the shaded band above. At the midpoint, this role pays about $234k 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 I (AI Foundations)

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As an Applied Researcher I in AI Foundations, you will join a dynamic team dedicated to advancing the frontiers of artificial intelligence. Your primary responsibilities include conducting cutting-edge research and developing novel algorithms that enhance machine learning models. Day-to-day tasks involve experimenting with large language models (LLMs) and fine-tuning them for specific applications, contributing to projects that address complex business challenges at scale. Ideal candidates possess a strong background in AI and are proficient in Python or similar programming languages. Experience with LLMs and fine-tuning techniques is highly valued. This role requires an innovative mindset and the ability to lead technical initiatives within a collaborative environment.

Skills

Python TensorFlow PyTorch LLM Finetuning NLP CI/CD Git Jupyter Notebook AWS Google Cloud Platform Azure

What you'll do

Conduct research in AI foundations to advance machine learning techniques.
Develop and implement novel algorithms for improving model performance.
Analyze large datasets to identify patterns and insights relevant to AI projects.
Stay updated with the latest advancements in artificial intelligence technologies.
Collaborate on finetuning models to enhance their accuracy and efficiency.

What we're looking for

PhD in Computer Science or related field with focus on AI and machine learning.
Strong background in natural language processing (NLP) techniques and applications.
Experience in large language model development and fine-tuning.
Proficient in Python and other relevant programming languages for AI research.
Publication record in top-tier AI conferences and journals.

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