Software Engineer, ML Platform (ML Training)

Job description

Job responsibilities

• Build the Zoox Training framework leveraged by all ML teams within Zoox. This framework needs to be highly scalable, reliable, and efficient.
• Design, implement, and operate a robust and efficient ML platform to enable the training, validation, serving, and monitoring of ML models.
• Collaborate closely with cross-functional teams, including ML researchers, software engineers, and data engineers, to define requirements and align on architectural decisions.

Job requirements

• 2+ years of ML infrastructure experience.
• Experience with training frameworks like PyTorch, DeepSpeed, JAX, Ray, etc.
• Experience working with cloud providers like AWS.
• Experience with building large-scale, cost-efficient distributed model training and ML compute infrastructure.
• Experience with building model lifecycle management tools and experimentation