Senior Machine Learning Engineer

📋 Description

• Own the productionization and lifecycle of ML models
• Take models from notebooks to production systems
• Collaborate with Data Scientist to drive production readiness
• Define and shape the ML Platform roadmap
• Build reusable tooling for faster model iteration
• Deploy models and monitor them in production

🎯 Requirements

• 5+ years software engineering, 3+ years ML systems
• Strong Python for production code
• Deploying and operating ML models in production
• Hands-on AWS experience (SageMaker preferred)
• Proficiency with Docker and containerization
• Experience building data pipelines and Snowflake a plus

🎁 Benefits

• Remote-first role in the U.S. with optional DC office
• Flexible distributed work and occasional on-sites
• 12,000 sq ft office in Washington, DC available
• Regular team meetups, events, and retreats
• Collaborative, diverse, mission-driven culture
• High-impact ML platform with growth opportunities