Applied Researcher II

Capital One Financial

Confirmed live 2 days ago Trusted

Quick summary

Work type
On-site
Location
New York, NYSan Francisco, CAMcLean, VACambridge, MASan Jose, CA
Salary
$262,500–$299,600 / yr
Posted
50 days ago
Freshness
Confirmed live 2 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $179k
This role $281k
$102k most similar roles pay here $321k

This role pays more than 95% of similar roles. Most pay $133,500–$224,111 — the shaded band above. At the midpoint, this role pays about $281k versus about $179k 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 998 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 992 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 on the AI Foundations team, you will collaborate with cross-functional teams of data scientists, software engineers, and product managers to deliver AI-powered products that transform how customers interact with their money. You will be responsible for building AI foundation models through every phase of development, including design, training, evaluation, validation, and implementation. To uncover insights within large volumes of numeric and textual data, you will utilize a technical stack featuring PyTorch, AWS Ultraclusters, Huggingface, Lightning, and VectorDBs. The role involves conducting high-impact applied research to integrate state-of-the-art developments into the next generation of customer experiences. You will solve complex problems by applying advanced methodologies such as self-supervised learning, RLHF, and training optimization to create scalable, high-performance systems that address core banking challenges through innovative machine learning solutions.

Skills

Pytorch AWS Huggingface Lightning VectorDBs LLM NLP Graph Neural Networks RLHF Quantization Model Sparsification Training Parallelism Supervised Finetuning Instruction-Tuning

What you'll do

  • Build AI foundation models through all phases of development including design, training, evaluation, validation, and implementation.
  • Conduct high-impact applied research to integrate state-of-the-art AI developments into next-generation customer experiences.
  • Utilize a broad technology stack including PyTorch, AWS Ultraclusters, Hugging Face, and VectorDBs to analyze large volumes of data.
  • Translate complex technical research into tangible business goals for stakeholders and product managers.
  • Develop and deliver scalable machine learning models for high-volume training and inference.
  • Research and evaluate emerging technologies to identify opportunities for improving existing products.
  • Own and pursue a research agenda by selecting impactful problems and executing long-running projects autonomously.

What we're looking for

  • Must have a PhD in a relevant field or an MS with at least 4 years of experience in Applied Research.
  • Candidates pursuing a PhD may be considered if the degree is completed within two years of the start date.
  • Experience building large deep learning models for language, images, events, or graphs is required.
  • Expertise is required in areas such as training optimization, self-supervised learning, robustness, explainability, or RLHF.
  • Must have hands-on experience developing AI foundation models using open-source tools and cloud computing platforms.
  • Proven track record of delivering models at scale for both large training data and high inference volumes.
  • Experience delivering libraries, platform-level code, or solution-level code to existing products is required.
  • Ability to independently own a research agenda and conduct long-running projects on impactful problems.

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