Applied Researcher II (AI Foundations)

Capital One Financial

Quick summary

Work type: On-site
Location: San Jose, CA · San Francisco, CA · McLean, VA · Cambridge, MA · New York, NY
Salary: $262,500–$299,600 / yr
Posted: 92 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $209k

This role $281k

$156k most similar roles pay here $315k

This role pays more than 91% of similar roles. Most pay $172,500–$246,150 — the shaded band above. At the midpoint, this role pays about $281k versus about $209k 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 engage in cutting-edge research to advance large language model (LLM) capabilities and fine-tuning techniques. Your day-to-day responsibilities include developing innovative solutions to complex natural language processing challenges, collaborating with interdisciplinary teams, and contributing to the growth of state-of-the-art AI technologies. Ideal candidates possess a deep understanding of machine learning frameworks such as PyTorch or TensorFlow, proficiency in programming languages like Python, and expertise in areas like transformer models and neural network architectures. This role requires an individual who can lead projects, drive innovation, and tackle significant business problems at scale within the rapidly evolving field of AI research.

Skills

LLM Finetuning Python TensorFlow PyTorch CI/CD Git Jupyter Notebook AWS Google Cloud Platform Azure Docker Kubernetes PostgreSQL MongoDB Scikit-learn Pandas NumPy Matplotlib Seaborn

What you'll do

Conduct cutting-edge research in AI foundations to advance machine learning capabilities.
Develop and implement large language model (LLM) innovations for enhanced performance.
Fine-tune existing models to improve accuracy and efficiency in various applications.
Publish research findings in peer-reviewed journals and present at industry conferences.
Mentor junior researchers and collaborate with cross-functional teams on projects.

What we're looking for

PhD in Computer Science or related field.
Strong background in AI and machine learning techniques.
Experience with large language models (LLM) development.
Proficient in fine-tuning AI models for specific applications.
Leadership skills to guide research projects and teams.

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