Lead Machine Learning Engineer (Manager IC)

In Risk Tech we provide the foundation for Capital One to thrive in an uncertain world. Our engaged empowered and intelligent people produce outstanding products working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers our business or our communities.

What Youll Do:

The MLE role overlaps with many disciplines such as Ops Modeling and Data this role youll be expected to perform many ML engineering activities including one or more of the following:

• Partner with a cross-functional team of engineers data scientists product managers and designers to deliver AI-powered products that change how our associates work and provide value to our customers.

• Design develop test deploy and support AI software components utilizing machine learning models including model evaluation and experimentation large language model inference similarity search guardrails governance observability and agentic AI.

• Fine-tune develop and evaluate machine learning and foundation models

• Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities

• Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One.

• Leverage a broad stack of Open Source and SaaS AI technologies.

• Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues.

• Retrain maintain and monitor models in production.

• Construct optimized data pipelines to feed ML models.

• Ensure all code is well-managed to reduce vulnerabilities models are well-governed from a risk perspective and the ML follows best practices in Responsible and Explainable AI.

The Ideal Candidate:

• 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

Basic Qualifications:

• Bachelors 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

Preferred Qualifications:

• Masters 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 candidates 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- or via email at . 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 Ones recruiting process please send an email to

Capital 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).