Senior ML Engineer - Scale Production ML Systems

Capital One; Cambridge (MA); On-site; USD 197,000 - 225,000; Full time

Benefits offered by this job

Health benefits

Job summary

Capital One is seeking a Machine Learning Engineer (MLE) in Cambridge, MA to join an Agile team focused on productionizing ML applications at scale. You will design, develop, and implement ML solutions, build robust data pipelines, and ensure scalable, well-governed code with responsible AI practices.

Proficiency in Python, Scala, or Java is required. This role involves close collaboration with Product, Data Science, and Ops teams, and opportunities to work with cutting-edge ML frameworks and

Qualifications

• Bachelor’s degree required.
• 6+ years designing and building data-intensive solutions with distributed computing.
• 4+ years programming in Python, Scala, or Java.
• 2+ years building, scaling, and optimizing ML systems.

Responsibilities

• Design, build, and deliver ML models and components with Product and Data Science teams.
• Inform ML infrastructure decisions regarding model choice, data, and features.
• Write, test, and deploy ML models and application code with CI/CD practices.
• Collaborate in a cross-functional Agile team to deliver big data and ML applications.
• Retrain, maintain, and monitor models in production.
• Leverage cloud-based architectures to deliver optimized ML models at scale.
• Construct data pipelines to feed ML models.
• Ensure code quality, governance, and responsible/Explainable AI practices.
• Use Python, Scala, or Java in development.

Job description

Capital One is seeking a Machine Learning Engineer (MLE) in Cambridge, MA to join an Agile team focused on productionizing ML applications at scale. You will design, develop, and implement ML solutions, build robust data pipelines, and ensure scalable, well-governed code with responsible AI practices.

Proficiency in Python, Scala, or Java is required. This role involves close collaboration with Product, Data Science, and Ops teams, and opportunities to work with cutting-edge ML frameworks and