Applied Researcher II

Capital One Financial

Quick summary

Work type
On-site
Location
New York, NY · McLean, VA · Cambridge, MA · San Jose, CA
Salary
$262,500–$299,600 / yr
Posted
100 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, you will join a dynamic and innovative team focused on advancing cutting-edge technologies. Your primary responsibilities include developing novel solutions through creative problem-solving and leading initiatives that drive technical innovation. Day-to-day tasks involve working with behavioral models, fine-tuning algorithms, and preparing data for machine learning applications. You should be proficient in Python and familiar with large language models such as LLMs. This role requires a deep understanding of the domain context, including the ability to address complex business problems at scale within the financial services sector.

Skills

Python TensorFlow PyTorch Kubernetes Docker CI/CD Git PostgreSQL LLM Behavioral_Models Finetuning Data_Preparation AWS GCP

What you'll do

  • Develop innovative solutions using advanced AI techniques and models.
  • Conduct research to improve existing behavioral models and algorithms.
  • Fine-tune machine learning models for enhanced performance and accuracy.
  • Prepare and preprocess large datasets for training AI systems.
  • Lead projects and mentor junior researchers in applied AI technologies.

What we're looking for

  • PhD in Computer Science, Electrical Engineering, or a related field.
  • Strong background in machine learning and natural language processing.
  • Experience with behavioral models and data preparation techniques.
  • Proficiency in fine-tuning large language models.
  • LLM certification or equivalent legal expertise.

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