Staff Machine Learning Engineer, ML Platform

📋 Description

• Identify and drive transformative initiatives that change how the team runs ML in production
• Build and ship at high velocity; carry complex infrastructure initiatives from design through
• Own the platform's technical vision and production quality bar; set direction for model training
• Drive initiatives that span teams, building on shared infrastructure, deployment tooling, and data
• Raise engineering quality through design review, code review, and production readiness for ML
• Connect technical decisions to customer and business outcomes; represent team's technical

🎯 Requirements

• 8+ years building and operating distributed systems in production, with depth in deployment and
• Hands-on experience with ML workloads in production (training pipelines, model serving, feature
• Technical leader who has owned direction for a team, led multi-quarter initiatives across team
• Deep working knowledge of Kubernetes and cloud infrastructure, including identity and access
• Effective communicator, both verbal and written, able to build consensus and drive decision making
• Bonus: Queueing and orchestration systems such as Celery, RabbitMQ, Kafka, or Ray; ML platform

🎁 Benefits

• Competitive compensation that may include equity
• Retirement and Employee Stock Purchase Plans
• Flexible paid time off
• Comprehensive benefit plans covering medical, dental, vision, life, and disability
• Family services including fertility benefits and equal paid parental leave
• Professional development supported by formal career pathing, learning platforms, and yearly