Distinguished Machine Learning Engineer - Bank Tech jobs in United States
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Capital One · 1 day ago

Distinguished Machine Learning Engineer - Bank Tech

Capital One is a financial services company, and they are seeking a Distinguished Machine Learning Engineer to provide technical leadership in productionizing machine learning applications. The role involves collaborating with various teams to advance fraud prevention strategies using generative AI technologies.

Financial Services
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Comp. & Benefits
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H1B Sponsorednote

Responsibilities

Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams
Provide guidance on the evaluation and adoption of generative AI techniques and tools, including LangChain, LangGraph, LLMs, RAG, MCP, embeddings, vector stores, and model orchestration frameworks
Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems
Lead large-scale ML initiatives with the customer in mind
Drive adoption of proven generative AI patterns across teams by influencing platform design, standards, and technical direction
Leverage cloud-based architectures and technologies to deliver optimized ML models at scale
Optimize data pipelines to feed ML models
Use programming languages like Python, Scala, C/C++
Leverage compute technologies such as Dask and RAPIDS
Evangelize best practices in all aspects of the engineering and modeling lifecycles
Help recruit, nurture, and retain top engineering talent

Qualification

Machine LearningGenerative AIData Pipeline DesignCloud TechnologiesPythonC/C++ScalaDaskRAPIDSSoft Skills

Required

Bachelor's degree
At least 10 years of experience designing and building data-intensive solutions using distributed computing
At least 6 years of experience programming in C, C++, Python, or Scala
At least 3 years of experience with the full ML development lifecycle using modern technology in a business critical setting

Preferred

Master's Degree
3+ years of experience designing, implementing, and scaling production-ready data pipelines that feed ML models
2+ years of experience using Dask, RAPIDS, or in High Performance Computing
2+ years of experience with the PyData ecosystem (NumPy, Pandas, and Scikit-learn)
Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM fine-tuning, LLM Evaluation
Ability to communicate complex technical concepts clearly to a variety of audiences
ML industry impact through conference presentations, papers, blog posts, or open source contributions
Ability to attract and develop high-performing software engineers with an inspiring leadership style

Benefits

Performance based incentive compensation
Cash bonus(es) and/or long term incentives (LTI)
Comprehensive, competitive, and inclusive set of health, financial and other benefits

Company

Capital One

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Capital One is a financial services company that provides banking, credit card, auto loan, savings, and commercial banking services.

H1B Sponsorship

Capital One has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (723)
2024 (488)
2023 (545)
2022 (909)
2021 (672)
2020 (944)

Funding

Current Stage
Public Company
Total Funding
$5.45B
Key Investors
Berkshire Hathaway
2025-09-11Post Ipo Debt· $2.75B
2025-01-30Post Ipo Debt· $1.75B
2023-05-15Post Ipo Equity· $954M

Leadership Team

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Daniel Arellano
Senior Vice President, Business Cards and Payments
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Justin Burch
Senior Vice President
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Company data provided by crunchbase