Full-Time

Senior Associate

Data Science, Applied Generative AI for Calls and Documents

Posted on 10/11/2024

Capital One

Capital One

10,001+ employees

Offers diverse financial products and services

Fintech
Financial Services

Compensation Overview

$133k - $165.6kAnnually

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

Senior

H1B Sponsorship Available

McLean, VA, USA + 1 more

More locations: New York, NY, USA

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

Category
Natural Language Processing (NLP)
Computer Vision
AI & Machine Learning
Data & Analytics
Required Skills
LLM
Git
Pytorch
Machine Learning
AWS
LangChain
Data Analysis

You match the following Capital One's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • Currently has, or is in the process of obtaining a Bachelor’s Degree plus 3 years of experience in data analytics, or currently has, or is in the process of obtaining Master’s Degree plus 1 year of experience in data analytics with an expectation that required degree will be obtained on or before the scheduled start date
  • At least 1 year of experience in open source programming languages for large scale data analysis
  • At least 1 year of experience with machine learning
  • At least 1 year of experience with relational databases
Responsibilities
  • Harness the power of transformer model architectures to automatically identify emerging customer pain points in millions of call transcripts.
  • Fine-tune large language models (LLMs) and large multi-modal models (LMMs) for extractive and abstractive tasks to search for complex evidence statements in unstructured, multi-page, documents images.
  • Manage large scale data annotation projects by guiding frontline agents to curate high quality datasets, delivering model improvements by proposing, managing, and monitoring improvements to data collection processes.
  • Work on a team of data scientists to build practical machine learning solutions through all phases of development, including designing, training, evaluating, and monitoring models.
  • Communicate frequently with business stakeholders, including everything from brainstorming verbiage to include in a prompt engineering experiment to ascertaining which model evaluation metric best aligns data science outputs with business objectives.
  • Collaborate with machine learning engineers to develop, deploy, troubleshoot, optimize, and maintain model pipelines with activities spanning from building reusable Kubeflow components for LLM fine-tuning to conversing about the cost impacts of model architecture choices.
  • Leverage a broad stack of technologies including Pytorch, Hugging Face, LangChain, LLaMA-Factory, GitHub, AWS and more, to automate workflows using huge volumes of text audio, and vision data.
Desired Qualifications
  • At least 1 year of experience working with unstructured data for either natural language processing, computer vision or speech applications
  • At least 1 years of experience fine-tuning and deploying transformer based models using deep learning libraries and tools such as Pytorch and HuggingFace
  • At least 2 years of experience with object oriented Python via experiences in data science and software engineering

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.

Company Stage

IPO

Total Funding

$15.9M

Headquarters

McLean, Virginia

Founded

2014

Simplify Jobs

Simplify's Take

What believers are saying

  • Increased focus on digital banking enhances Capital One's user-friendly solutions.
  • Growing interest in ESG investing aligns with Capital One's financial inclusion commitment.
  • Fintech partnerships offer opportunities for Capital One Ventures to invest in innovative startups.

What critics are saying

  • Facing multiple lawsuits for allegedly defrauding customers out of $2 billion.
  • Class action lawsuit from influencer accusing Capital One of stealing link commissions.
  • Involvement in Israeli cybersecurity startup may expose Capital One to geopolitical risks.

What makes Capital One unique

  • Capital One leverages data and technology to revolutionize the credit card industry.
  • The company offers user-friendly banking solutions with no fees or minimums for checking accounts.
  • Capital One emphasizes financial literacy through partnerships with organizations like Khan Academy.

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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

INACTIVE