Lead Machine Learning Engineer
Capital OneBase Salary
$179k - $246k/yr
Responsibilities
- Design, build, and deliver machine learning models and components for real-world business problems.
- Make ML infrastructure decisions involving model selection, data, features, training, hyperparameter tuning, dimensionality, bias and variance, and validation.
- Write and test application code, validate ML models, and automate tests and deployment.
- Collaborate with Product, Data Science, and cross-functional Agile teams to develop big data and ML applications.
- Retrain, maintain, and monitor models in production.
- Build or leverage cloud-based architectures and platforms to deliver optimized ML models at scale.
- Construct optimized data pipelines that feed ML models.
- Apply continuous integration, continuous deployment, test automation, and monitoring practices.
- Manage code and models to reduce vulnerabilities, support risk governance, and follow Responsible and Explainable AI practices.
- Lead teams developing ML solutions using established practices, patterns, and automation.
Requirements
- Bachelor’s degree required.
- 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 programming experience with Python, Scala, or Java.
- At least 2 years of experience building, scaling, and optimizing ML systems.
- Preferred: master’s or doctoral degree in computer science, electrical engineering, mathematics, or a similar field.
- Preferred: 3+ years of experience building production-ready data pipelines that feed ML models.
- Preferred: 3+ years of industry experience with recognized ML frameworks such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow.
- Preferred: 2+ years of experience developing performant, resilient, and maintainable code.
- Preferred: 2+ years of experience gathering and preparing data for ML models.
- Preferred: experience deploying ML solutions in AWS, Azure, or Google Cloud Platform.
- Preferred: experience designing, implementing, and scaling complex ML data pipelines and evaluating their performance.
- Preferred: ML industry contributions through presentations, papers, blog posts, open-source contributions, or patents.
- Preferred: experience using interactive AI tooling beyond basic code completion.
- Capital One will not sponsor a new applicant for employment authorization or provide immigration-related support for this position.
Benefits
- Capital One offers health, financial, and other benefits supporting employee well-being, with eligibility varying by employment and management status.
- The role is eligible for performance-based incentive compensation, which may include bonuses and long-term incentives.
Tech Stack
Categories
About Capital One
At Capital One, we're making things better for our customers and associates through innovation and collaboration. We were founded on the belief that everyone deserves financial freedom—and are dedicated to a world where all have equal opportunity to prosper. Banking is in our DNA, but we are so much more than a bank. We always think about what’s next—and how we can bring our customers the tools needed to improve their financial lives. Your ideas, experiences and skills will help make banking better. You’ll be part of a supportive culture while earning amazing benefits. That’s life at Capital One. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. View our Social Media Community Guidelines https://www.capitalone.com/digital/social-media/