Software Engineer, ML Platform (ML Training)
Zoox · Software Systems
- Location
- Foster City, CA
- Metro
- San Francisco Bay Area
- Workplace
- Hybrid
- Level
- Unspecified
- Type
- Full-time
- Pay
- $177K–$270K/yr (published by employer)
- Posted
- 3 months ago
- Source
- Lever
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What the posting covers
About the company
Zoox is on a mission to reimagine transportation and ground-up build autonomous robotaxis that are safe, reliable, clean, and enjoyable for everyone. We are still in the early stages of deploying our robotaxis on public roads, and it is a great time to join…
The Opportunity
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…
In this role, you will
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…
Qualifications
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: • Experience with building large-scale, cost-efficient distributed…
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…
Excerpts only. The employer’s page has the complete posting.