Capital One · 13 hours ago
Lead Machine Learning Engineer
New York, NY
Full-time
Onsite
Senior Level, Lead/Staff
$215K/yr - $246K/yr
6+ years expCapital One's Digital Commerce & Innovation organization is seeking a Lead Machine Learning Engineer with a passion for AI to join its Velocity Black by Capital One team. In this role, you will design, build, and deliver meaningful consumer products powered by the latest technology with a focus on applied AI for web and mobile, while leading a cross-functional team to enhance customer interactions with Capital One.
BankingCredit CardsFinanceFinancial Services
No H1B
Responsibilities
Design, build and deliver meaningful consumer products powered by the latest technology with a focus on applied AI for web and mobile
Need to wear the ‘Product hat’ with deep empathy for the customer
Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to evolve how our customers interact with Capital One
Work within and across teams to design, develop, test, implement, and support technical solutions across a full-stack of development tools and technologies
Lead the craftsmanship, availability, resilience, and scalability of your solutions
Qualification
Required
Bachelor's Degree
At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
At least 4 years of experience programming with Python, Scala, or Java
At least 2 years of experience building, scaling, and optimizing ML systems
You are deeply technical. You possess a strong foundation in engineering, and your passion for consumer technology and AI enables you to identify and act on user experience optimization opportunities that others miss
You are familiar with Large Language Models (LLMs) and AI integration optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems
You have experience integrating solutions into a complex web service & mobile application ecosystem
Emphasis on building maintainable, well-tested and resilient solutions
Passion for staying abreast of the latest research, and an ability to intuitively understand highly technical publications and judiciously apply novel techniques in production
Preferred
Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field
3+ years of experience building production-ready data pipelines that feed ML models
3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow
2+ years of experience developing performant, resilient, and maintainable code
2+ years of experience with data gathering and preparation for ML models
2+ years of people leader experience
1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance
ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents
Benefits
Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Company
Capital One
Capital One is a financial services company that provides banking, credit card, auto loan, savings, and commercial banking services.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$5.45BKey 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
Lo Li
CTO, Managing Vice President Retail Bank
Daniel Arellano
Senior Vice President, Business Cards and Payments
Recent News
2026-01-09
Bizjournals.com Feed (2025-11-12 15:43:17)
2026-01-09
Company data provided by crunchbase