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# Lead Machine Learning Engineer (Finance Tech - AI Enablement)

- **Company:** Capital One Financial Corporation
- **Location:** Cambridge, MA, United States
- **Experience:** Expert
- **Salary:** $197,300.0 - $225,100.0
- **Contract:** Internship / Graduate position
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Computer Programming, Distributed Systems, Python (Programming Language), Machine Learning, Tensorflow, Google Cloud, Pytorch, Apache Spark, Generative AI, AI Platforms, Scikit Learn, Information Technology, Dask, Machine Learning Operations, Data Pipelines
- **Published:** October 17, 2026
- **Apply:** https://www.juju.com/job/1_capitalone1-7C1415BA

## About the Role

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:** You 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. **Basic Qualifications:** + 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 **Preferred Qualifications:** + 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.