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R191765 Posted 07/10/2024

Senior Manager, Data Science - LLM Customization Team

McLean, Virginia | New York, New York | San Francisco, California | Cambridge, Massachusetts
  • Category Data Science
  • Experience Sr. Manager
  • Primary Address McLean, Virginia

Overview

Center 2 (19050), United States of America, McLean, Virginia

Senior Manager, Data Science - LLM Customization Team

At Capital One, we think big and do big things. We are not just a nationally recognized credit card issuer, a top 10 bank by deposit,  but a high-tech company with  products that reach tens of millions of consumers and have been recognized by numerous prestigious awards for their customer-friendliness. Capital One was the first major bank to move to cloud computing and to publish APIs for the Open Banking future. AI is transforming every industry. At Capital One, you will help shape how it transforms financial services.

Team Description

AI Foundations LLM Customization team is at the center of bringing our vision for LLMs and GenAI at Capital One to life. Our work touches every aspect of the research life cycle, from research to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging generative AI technologies.

In this role, you will:

  • Partner with a cross-functional team of data scientists, applied researchers, 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, Hugging Face, AWS Ultraclusters, LangChain, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data.

  • Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for business specific applications and features.

  • Build NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems.

  • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.

The Ideal Candidate is:

  • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.

  • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.

  • Technical. You’re comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms.

  • Influential. You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non-technical audiences.

  • You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF.

  • You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution level code to existing products.

Basic Qualifications:

  • Currently has, or is in the process of obtaining a Bachelor’s Degree plus 7 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus 5 years of experience in data analytics, or currently has, or is in the process of obtaining PhD plus 2 years of experience in data analytics, with an expectation that required degree will be obtained on or before the scheduled start date

  • At least 3 years’ experience in open source programming languages for large scale data analysis

  • At least 3 years’ experience with machine learning

  • At least 3 years’ experience with relational databases

Preferred Qualifications:

  • PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 4 years of experience in data analytics

  • At least 1 year of experience working with AWS

  • At least 1 year of experience managing people

  • At least 5 years’ experience in Python, Scala, or R for large scale data analysis

  • At least 5 years’ experience with machine learning

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

New York City (Hybrid On-Site): $234,700 - $267,900 for Sr Mgr, Data Science

San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr Mgr, Data Science

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Hiring Process
Stories
Benefits
Career Journey

How We Hire

We take finding great coworkers pretty seriously.

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  • Step 1 Apply

    It only takes a few minutes to complete our application and assessment.

  • Step 2 Screen and Schedule

    If your application is a good match you’ll hear from one of our recruiters to set up a screening interview.

  • Step 3 Interview(s)

    Now’s your chance to learn about the job, show us who you are, share why you would be a great addition to the team and determine if Capital One is the place for you.

  • Step 4 Decision

    The team will discuss — if it’s a good fit for us and you, we’ll make it official!

How to Pick the Perfect Career Opportunity

Overwhelmed by a tough career choice? Read these tips from Devon Rollins, Senior Director of Cyber Intelligence, to help you accept the right offer with confidence.

Your wellbeing is our priority

Our benefits and total compensation package is designed for the whole person. Caring for both you and your family.

  • Illustration of a stethoscope

    Healthy Body, Healthy Mind

    You have options and we have the tools to help you decide which health plans best fit your needs.

  • Illustration of a jar with acorns in it

    Save Money, Make Money

    Secure your present, plan for your future and reduce expenses along the way.

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    Time, Family and Advice

    Options for your time, opportunities for your family, and advice along the way. It’s time to BeWell.

Career Journey

Here’s how the team fits together. We’re big on growth and knowing who and how coworkers can best support you.

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A possible career journey at Capital One:

  1. Coordinator
  2. Senior Coordinator
  3. Principal Coordinator
  4. Associate
  5. Senior Associate
  6. Principal Associate
  7. Manager
  8. Senior Manager
  9. Director
  10. Senior Director
  11. VP
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