Staff Machine Learning Engineer, ML Platform

📋 Description

• Identify and drive transformative initiatives that change how the team runs ML in production, such
• Build and ship at high velocity, carrying the most complex infrastructure initiatives from design
• Own the platform's technical vision and production quality bar, including setting direction for
• Drive initiatives that span teams, leveraging shared infrastructure, deployment tooling, and data
• Raise the team's engineering quality through design review, code review, and production readiness
• Connect technical decisions to customer and business outcomes, and represent the 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, including training pipelines, model serving
• 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, whose designs and recommendations build consensus

🎁 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 that include fertility benefits and equal paid parental leave
• Professional development supported by formal career pathing, learning platforms, and a yearly