Applied Researcher II

Capital One Financial

Quick summary

Work type: On-site
Location: San Jose, CA · New York, NY · McLean, VA
Salary: $262,500–$299,600 / yr
Posted: 25 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $182k

This role $281k

$110k most similar roles pay here $320k

This role pays more than 96% of similar roles. Most pay $130,750–$233,250 — the shaded band above. At the midpoint, this role pays about $281k versus about $182k 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 II

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As an Applied Researcher II at this innovative tech company, you will join a dynamic team focused on cutting-edge research and development. Your primary responsibilities include leading the exploration of novel machine learning techniques, particularly in the areas of large language model fine-tuning and advanced natural language processing tasks. Day-to-day activities involve designing experiments, analyzing results, and collaborating with cross-functional teams to integrate your findings into scalable products. The ideal candidate possesses a deep understanding of neural networks, proficiency in Python or similar programming languages, and experience with frameworks like PyTorch or TensorFlow. This role requires expertise in natural language processing and a strong background in machine learning research, ideally complemented by an LLM degree for those seeking to excel at the forefront of AI innovation.

Skills

LLM Finetuning Python TensorFlow PyTorch Kubernetes Docker CI/CD AWS Azure Git Jupyter Notebook PostgreSQL MongoDB Scikit-learn Pandas Numpy

What you'll do

Conduct advanced research in machine learning and natural language processing.
Develop innovative algorithms to improve AI model performance.
Analyze large datasets to identify patterns and insights.
Publish research findings in peer-reviewed journals and conferences.
Mentor junior researchers and contribute to the team's knowledge base.

What we're looking for

PhD in Computer Science, Electrical Engineering, or related field.
Strong background in machine learning and natural language processing.
Experience with large-scale data analysis and model training.
Proficiency in programming languages such as Python or C++.
Ability to innovate and lead technical projects independently.
Knowledge of legal frameworks relevant to AI research (LLM preferred).
Expertise in fine-tuning models for specific applications.

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