Lead ML Engineer — Production‑Scale AI Systems

JobCubby; San Francisco, Northern (CA, KY); Hybrid; USD 215,000 - 246,000; Full time

Job summary

Capital One is seeking a Lead Machine Learning Engineer to join an Agile team focused on productionizing machine learning applications at scale. You will design, build, deploy, and monitor ML models, construct optimized data pipelines, and collaborate across Product and Data Science to deliver state-of-the-art ML solutions.

You will work with Python/Scala/Java, implement CI/CD, and ensure governance and responsible AI practices in cloud-based environments. Multiple U.S.

Qualifications

• Bachelor’s Degree
• At least 6 years of experience designing and building data-intensive solutions using distributed computing
• At least 4 years of experience programming with Python, Scala, or Java
• At least 2 years of experience building, scaling, and optimizing ML systems

Responsibilities

• Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams
• Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues
• Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment
• Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications
• Retrain, maintain, and monitor models in production
• Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale
• Construct optimized data pipelines to feed ML models
• Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code
• 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
• Use programming languages like Python, Scala, or Java

Job description

Capital One is seeking a Lead Machine Learning Engineer to join an Agile team focused on productionizing machine learning applications at scale. You will design, build, deploy, and monitor ML models, construct optimized data pipelines, and collaborate across Product and Data Science to deliver state-of-the-art ML solutions.

You will work with Python/Scala/Java, implement CI/CD, and ensure governance and responsible AI practices in cloud-based environments. Multiple U.S.