Senior Engineering Manager, ML Platform

📋 Description

• Vision: Define a scalable ML training platform for Foundation/RL models.
• Technical acumen: Design, implement, and run robust ML training platform.
• Hiring: Attract and inspire a diverse world-class engineering team.
• Partnership: Align with ML researchers, software, data, and hardware teams.
• Mentorship: Grow team members with clear career feedback.

🎯 Requirements

• 10+ years of relevant experience, including 4+ years in management.
• Experience building scalable ML infrastructure for large-scale training and serving.
• Experience with training frameworks like PyTorch, JAX, and GPUs for distributed training.
• Experience with GPU-accelerated inference using TensorRT, Ray Serve, or similar.

🎁 Benefits

• Comprehensive benefits including health, vision, and life insurance.
• Paid time off, sick leave, and disability coverage.
• Zoox stock options and RSUs as part of compensation.
• Sign-on bonus may be offered.