Applied Researcher II, AI Foundations

Capital One Financial

Quick summary

Work type: On-site
Location: San Jose, CA
Salary: $286,400–$326,800 / yr
Posted: 1 day ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $204k

This role $307k

$142k most similar roles pay here $347k

This role pays more than 98% of similar roles. Most pay $162,000–$246,150 — the shaded band above. At the midpoint, this role pays about $307k versus about $204k 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 597 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 593 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 in AI Foundations, you will join a cutting-edge team focused on advancing the frontiers of artificial intelligence. Your primary responsibilities include developing and scaling large-scale graph models to over 50 million nodes, as well as working on deep learning-based recommender systems. You will innovate by fine-tuning existing models and creating new behavioral models that address complex business challenges. The ideal candidate is an innovative leader with a strong technical background in machine learning frameworks such as PyTorch or TensorFlow, along with expertise in natural language processing (NLP) techniques like LLMs. This role requires deep knowledge of graph theory and experience with large-scale data processing tools to tackle intricate AI problems at scale.

Skills

Python TensorFlow PyTorch Kubernetes Docker CI/CD Prometheus Grafana PostgreSQL LLM Graph Models Deep Learning Recommender Systems Finetuning

What you'll do

Develop and innovate AI foundational technologies.
Lead projects involving large-scale graph models with over 50 million nodes.
Design and implement deep learning-based recommender systems at scale.
Conduct research on fine-tuning techniques for advanced AI applications.
Apply behavioral models to enhance AI system performance.

What we're looking for

LLM or equivalent advanced degree in a relevant field.
Experience with large-scale deep learning and recommender systems.
Expertise in scaling graph models to over 50 million nodes.
Strong technical background and innovative problem-solving skills.
Proficiency in finetuning techniques for AI applications.

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