Staff Machine Learning Engineer, ML Platform

📋 Description

• Identify and drive the transformative initiatives that change how the team runs ML in production
• Build and ship at high velocity. Staff at Braze is a hands-on delivery role; you carry the most
• Own the platform's technical vision and production quality bar. Set direction for how models are
• Drive initiatives that span teams. Our platform builds on shared infrastructure, deployment
• 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. Training pipelines, model serving, feature
• A 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
• An effective communicator, both verbal and written, whose designs and recommendations build
• Bonus: Queueing and orchestration systems such as Celery, RabbitMQ, Kafka, or Ray

🎁 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