Full-Time

Applied Researcher I

Updated on 3/14/2025

Capital One

Capital One

10,001+ employees

Offers diverse financial products and services

Compensation Overview

$234k - $267kAnnually

+ Performance-based incentive compensation + Cash bonuses + Long-term incentives

Junior, Mid

H1B Sponsorship Available

Cambridge, MA, USA + 4 more

More locations: San Francisco, CA, USA | San Jose, CA, USA | McLean, VA, USA | New York, NY, USA

Candidates hired to work in other locations will be subject to the pay range associated with that location.

Category
Applied Machine Learning
Deep Learning
Natural Language Processing (NLP)
AI & Machine Learning
Required Skills
Pytorch
Machine Learning
Requirements
  • Currently has, or is in the process of obtaining, a PhD, with an expectation that required degree will be obtained on or before the scheduled start date or M.S. with at least 2 years of experience in Applied Research
  • Has a deep understanding of the foundations of AI methodologies
  • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF
  • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes
  • Experience in delivering libraries, platform level code or solution level code to existing products
  • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects
  • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects
Responsibilities
  • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money
  • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data
  • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation
  • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences
  • Flex your interpersonal skills to translate the complexity of your work into tangible business goals
Desired Qualifications
  • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields
  • LLM
  • PhD focus on NLP or Masters with 5 years of industrial NLP research experience
  • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)
  • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens)
  • Publications in deep learning theory
  • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR
  • PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series)
  • Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR
  • Worked on scaling graph models to greater than 50m nodes
  • Experience with large scale deep learning based recommender systems
  • Experience with production real-time and streaming environments
  • Contributions to common open source frameworks (pytorch-geometric, DGL)
  • Proposed new methods for inference or representation learning on graphs or sequences
  • Worked datasets with 100m+ users
  • PhD focused on topics related to optimizing training of very large deep learning models
  • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression
  • Experience optimizing training for a 10B+ model
  • Deep knowledge of deep learning algorithmic and/or optimizer design
  • Experience with compiler design
  • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning)
  • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance
  • Experience deploying a fine-tuned large language model

Capital One offers a range of financial services, including credit cards, savings accounts, car loans, and business checking accounts, primarily in the United States. The company focuses on user-friendly banking solutions with no fees or minimums for checking accounts, making it easier for customers to manage their money. Capital One stands out from competitors through its commitment to financial inclusion and literacy, partnering with organizations to provide educational resources. The goal is to make banking more accessible and straightforward for everyone.

Company Size

10,001+

Company Stage

IPO

Headquarters

McLean, Virginia

Founded

2014

Simplify Jobs

Simplify's Take

What believers are saying

  • AI-driven solutions like Chat Concierge improve customer experience and operational efficiency.
  • The Lifestyle Collection increases customer engagement and loyalty in the travel sector.
  • Acquisition of Discover diversifies offerings and potentially expands market share.

What critics are saying

  • Class-action lawsuit challenges Capital One's affiliate marketing practices, risking financial repercussions.
  • AI-powered Chat Concierge may face data privacy and customer trust issues.
  • Acquisition of Discover may encounter regulatory scrutiny and integration challenges.

What makes Capital One unique

  • Capital One leverages AI to enhance customer service with its Chat Concierge.
  • The Lifestyle Collection targets a broader travel market with curated property benefits.
  • Capital One's acquisition of Discover aims to expand market share and financial offerings.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Medical, Dental, & Vision coverage

Onsite Health Centers

Prescription saving with network of local pharmacies

Stock Purchase Plan

Education Assistance

401(k)

Flexible Spending Accounts

Life and Disability insurance

Generous paid time off + corporate & floating holidays

Registered dieticians on site, cooking classes and free virtual fitness classes

Employee Assistance Program

Company News

MarketBeat
Feb 27th, 2025
Wealthstream Advisors Inc. Invests $287,000 in Capital One Financial Co. (NYSE:COF)

Wealthstream Advisors Inc. invests $287,000 in Capital One Financial Co. (NYSE:COF).

First Class Travel Now
Feb 26th, 2025
Capital One's new transfer bonus to JetBlue

But now, Capital One has launched a transfer bonus that can give you an extra 5,000 TrueBlue points upon your first transfer.

Business Wire
Feb 25th, 2025
Corpay® Upsizes Credit Facility by $750 million

Corpay, Inc. (NYSE: CPAY), a global S&P 500 corporate payments company today announced that it successfully closed on an amendment to its Term Loa

AwardWallet
Feb 22nd, 2025
Capital One Lifestyle Collection: Score Bonus Miles and Hotel Perks Without Elite Status

Later, Capital One introduced the Lifestyle Collection, a curated list of properties that offers select benefits to a broader range of travelers - though with fewer perks than the Premier Collection.

Auto Success
Feb 18th, 2025
Capital One Launches AI-Powered Assistant

Capital One has unveiled Chat Concierge, its first customer-facing agentic AI tool designed to streamline and enhance the car-buying process for both consumers and dealers.