Lead Machine Learning Engineer (Manager IC)

You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing.

You want to work on problems that will help change banking for good.

You are a passionate communicator, comfortable with explaining complex technical concepts to non-technical partners across the business, sometimes in front of large audiences.

Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.

You adapt quickly and thrive on bringing clarity to big, undefined problems.

You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity.

You have the courage to share new ideas even when they are unproven.

You are deeply Technical.

You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.

You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.

Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production

Strategic & Business-Oriented: think beyond the technology, deeply understanding business needs and how AI can solve them.

You don't just build; you strategize and prioritize work that delivers the greatest business value.

Highly Collaborative & Transparent: You are a natural partner, working seamlessly across engineering, product, and data science teams.

You communicate your progress, blockers, and decisions clearly and proactively, ensuring everyone is aligned.

You love sharing knowledge and insights and are committed to the success of the entire team.

Technically Mature & Humble: You possess a strong foundation in engineering and mathematics.

You are a resilient problem-solver who can bring clarity to complex, undefined problems and articulate your findings concisely.

You demonstrate professional maturity by committing to and executing on team decisions.

Flexible & Fungible: You are eager to roll up your sleeves and contribute wherever the team needs you most.

You are comfortable working across different aspects of the tech stack and adapting to evolving priorities.

A Lifelong Learner: You love staying current with the latest AI research and can apply novel techniques to production systems judiciously, always with a focus on business impact.

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

Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field

7+ years of experience designing, developing, delivering, and supporting AI services at scale

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

3+ years of experience developing AI and ML algorithms or technologies using Python

2+ years of experience with Retrieval Augmented Generation (RAG)

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 designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance

Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion

Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure

Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance

At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e.

H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).

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 the Capital 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.com

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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).