Zoox

Software Engineer, ML Platform (ML Training)

Foster City, CA

Sponsorship not specified$182k-$257kDetected 2 days ago

Machine LearningDeep LearningPyTorchData ScienceComputer VisionA/B TestingRoboticsResearch

About the role

Would you like to be part of the ML Training platform team that enables autonomous driving, driving scenario understanding, learned planning and trajectories, large scale driving simulations and several other ML use cases at Zoox?
You will get to work across all ML teams within Zoox - Foundation Models, Perception, Prediction, Planner, Simulation, Data Science, Collision Avoidance, etc. and have the opportunity to significantly push the boundaries of how ML is practiced within Zoox.
You will play a crucial role in reducing the time it takes from ideation to productionization of cutting-edge AI innovation.

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.

2+ years of ML infrastructure experience.
Experience with training frameworks like PyTorch, DeepSpeed, JAX, Ray, etc.
Experience working with cloud providers like AWS.
Bonus Qualifications
About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

Experience with building large-scale, cost-efficient distributed model training and ML compute infrastructure.
Experience with building model lifecycle management tools and experimentation
About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market.
A Final Note: You do not need to match every listed expectation to apply for this position.

This listing is sourced directly from Zoox's careers page and normalized into a canonical job model.