Applied Researcher I

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: 100 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $184k

This role $234k

$118k most similar roles pay here $264k

This role pays more than 79% of similar roles. Most pay $133,750–$233,250 — the shaded band above. At the midpoint, this role pays about $234k versus about $184k 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 I

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As an Applied Researcher I, you will join a dynamic team dedicated to advancing cutting-edge solutions in the field of computational and predictive systems security. Your primary responsibilities include developing innovative behavioral models and fine-tuning existing algorithms to enhance system security. Day-to-day tasks involve data preparation, model training, and collaboration with cross-functional teams to address complex business challenges. The ideal candidate possesses a strong technical background and is adept at leveraging languages such as Python and frameworks like TensorFlow or PyTorch. Experience in machine learning, particularly in the context of behavioral analysis and predictive modeling, is highly valued. This role offers an opportunity to work on large-scale projects that have significant real-world impact within the domain of cybersecurity and data protection.

Skills

Python TensorFlow PyTorch Jupyter Git GitHub CI/CD Docker Kubernetes AWS PostgreSQL MLOps NLP Data Wrangling Scikit-learn Pandas NumPy Matplotlib Seaborn

What you'll do

Conduct innovative research in applied fields using advanced technical skills.
Develop and refine behavioral models for various applications.
Prepare and curate datasets essential for machine learning projects.
Fine-tune existing models to improve performance and accuracy.
Stay updated with the latest advancements in computational linguistics.

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 behavioral models and data preparation techniques.
Proficiency in programming languages such as Python or C++.
LLM certification or equivalent legal knowledge is preferred.
Ability to innovate and lead technical projects effectively.

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