Lead Machine Learning Engineer for Scalable Infrastructure Solutions

Shape the future of real-world safety as a Staff Machine Learning Engineer. Drive innovative ML infrastructure design while enhancing end-to-end platform capabilities in a fully remote role.

You will spearhead the design and evolution of a comprehensive ML platform, directly impacting safety outcomes across various product domains. With over a decade of experience required, key skills include distributed computing, cloud infrastructure, and a robust understanding of ML fundamentals. Your work will empower teams to deliver scalable ML systems that significantly enhance operational safety and efficiency.

Key Responsibilities :

• Design and operate end-to-end ML infrastructure
• Collaborate on ML-powered feature development
• Lead cost estimation for new ML initiatives
• Standardize experiment tracking and evaluation
• Ensure reliability and observability of ML systems

Requirements :

• 10+ years in machine learning engineering
• Expertise in distributed computing frameworks
• Hands-on experience with AWS and Kubernetes
• Strong history of supporting ML platforms
• Knowledge of model evaluation and iteration

Contribute to impactful ML solutions that enhance safety and efficiency across industries while advancing your skills in a dynamic environment.

J-18808-Ljbffr