Overview

Capital One's Digital Commerce & Innovation organization is seeking a Senior Lead, Machine Learning Engineer to join its Velocity Black by Capital One team.
As a candidate for this role, you’re able to seamlessly switch from diving deep into technology with engineers to driving high-level, strategic discussions. You are a naturally curious technologist and stay on top of emerging trends, including prototyping of nascent technologies. You are not afraid to question any existing processes and solutions, yet you display a keen sense of business value proposition and focus on the right priorities. At Capital One, you will help leverage the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.
Velocity Black by Capital One harnesses the power of artificial intelligence, the warmth of human experts and the convenience of the latest interfaces to help high-performance people actualize the full potential of their lives. By harnessing 24/7 chat, AI, and mobile payments, we help our customers do more and be more in the digital age. From access to the hottest restaurants to guaranteed upgrades at the world’s finest resorts. Make a custom request through the app and you will be chatting to our team within 1 minute, 24/7/365. The service we offer and build upon is unlike anything ever built before, and our product is rapidly evolving. Velocity Black is our core product, built in React Native and offering exclusive access and unbeatable word-wide service across Travel, Experiences, Luxury Goods and Dining. Our internal and bespoke request management platform, Gravity, is built with React and Node.js micro services, virtually augmenting our expert customer service agents with AI, delivering the unrivalled personal service our members expect and love.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 

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

The Ideal Candidate:

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.

Basic Qualifications:

Bachelor’s Degree 

At least 8 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 3 years of experience building, scaling, and optimizing ML systems

At least 2 years of experience leading teams developing ML solutions 

Preferred Qualifications:

Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field

Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 

4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 

3+ years of experience developing performant, resilient, and maintainable code

3+ years of experience with data gathering and preparation for ML models

3+ years of people management experience 

ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents

3+ years of experience building production-ready data pipelines that feed ML models 

Ability to communicate complex technical concepts clearly to a variety of audiences 

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.









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.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.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.comCapital 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).