Principal Data Scientist, AI Foundations at Capital One

New York, New York, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Finance, FinTechIndustries

Requirements

Customer first mindset, passionate about making the right decisions for customers
Innovative, continually researching and evaluating emerging technologies, staying current on state-of-the-art methods
Creative, thriving on defining big undefined problems, asking questions, and sharing new ideas
Leadership qualities, challenging conventional thinking, improving status quo, and passionate about talent development
Technical expertise in advanced ML and DL technologies including language models, with hands-on experience working with LLMs using open-source tools and cloud computing platforms
Influential, passionate about AI/ML, able to bring cross-functional teams along in innovations, and communicate effectively to non-technical audiences
Experienced in training language models or large computer vision models, with expertise in one or more key subdomains such as training optimization, self-supervised learning, explainability, or RLHF
Engineering mindset with a track record of delivering models at scale in both training data and inference volumes

Responsibilities

Partner with cross-functional teams (data scientists, software engineers, machine learning engineers, product managers) to deliver AI-powered products
Leverage technologies like Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs to analyze huge volumes of numeric and textual data
Serve as expert in Natural Language Processing (NLP) to harness, adapt, and finetune Large Language Models (LLMs) for customer-facing applications and features
Build machine learning and NLP models through all phases: design, training, evaluation, validation
Partner with engineering teams to operationalize models in scalable, resilient production systems serving 80+ million customers
Translate complex work into tangible business goals using interpersonal skills

Skills

Key technologies and capabilities for this role

PyTorchAWSHugging FaceLangChainLightningVectorDBsNLPLLMsGenerative AIMachine Learning

Questions & Answers

Common questions about this position

What technologies will I work with in this role?

You will leverage a broad stack of technologies including Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more, with a focus on Natural Language Processing (NLP) and Large Language Models (LLMs).

What are the key qualities of the ideal candidate?

The ideal candidate is customer first, innovative by researching emerging technologies, creative in solving big problems, and a leader who challenges others.

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this role remote or does it require office work?

This information is not specified in the job description.

What does the team and work environment look like?

You'll partner with a cross-functional team of data scientists, software engineers, machine learning engineers, and product managers in the AI Foundations Specialist Models Data Science team, which builds scalable AI/ML solutions for Capital One’s mobile app.

Capital One

Offers diverse financial products and services

About Capital One

Capital One provides a variety of financial services aimed at making banking accessible and easy for everyone. The company offers products such as credit cards, savings accounts, car loans, and business checking accounts, catering to both individual consumers and small businesses primarily in the United States. Capital One's approach includes user-friendly banking solutions with no fees or minimums for checking accounts, allowing customers to manage their finances more effectively. They generate revenue through interest on loans, credit card fees, and investment banking services. What sets Capital One apart from its competitors is its strong commitment to financial inclusion and literacy, demonstrated through community partnerships and educational initiatives, such as collaborations with Khan Academy. The company's goal is to create a more inclusive financial system and empower customers with the knowledge and tools they need to make informed financial decisions.

McLean, VirginiaHeadquarters

2014Year Founded

$15.9MTotal Funding

IPOCompany Stage

Fintech, Financial ServicesIndustries

10,001+Employees

Principal Data Scientist, AI Foundations at Capital One

Requirements

Responsibilities

Skills

Questions & Answers

Capital One

About Capital One

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

Risks

Increased competition in subscription management tools may dilute Capital One's advantage.

Over-reliance on partnerships could expose Capital One to technological risks.

Departure of key personnel like Joe Rodriguez may affect risk management continuity.

Differentiation

Capital One offers user-friendly banking with no fees or minimums for checking accounts.

The company partners with Khan Academy to provide financial literacy education.

Capital One is the first major U.S. bank to offer subscription management tools.

Upsides

Capital One's mobile app is a model for secure, user-friendly digital banking.

Data sharing with Worldpay enhances payment security and fraud prevention.

Partnerships with fintechs like Minna Technologies improve customer experience.

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