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Senior/Staff Software Engineer, ML Training Performance
ICT
💰 Salary Not shared
📊 Market 14,167 CAD–20,833 CAD/mo (170,004 CAD–249,996 CAD/yr)
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.
About the Role
The Opportunity is to drive our ML Performance Optimization initiatives and make our ML models that enable autonomous driving as fast and efficient as possible. You will get to work with SOTA accelerators, cutting-edge techniques in distributed training, quantization, distillation, and pruning, among other things, working closely with all the Autonomy teams within Zoox - Perception, Prediction, Planner, Simulation, Collision Avoidance, and have the opportunity to significantly push the boundaries of how ML is practiced within Zoox. You will work alongside a team of strong software engineers and act as a force multiplier for our internal customers.
Responsibilities
- ● Drive ML Performance Optimization initiatives to make ML models that enable autonomous driving as fast and efficient as possible
- ● Work with SOTA accelerators and cutting-edge techniques in distributed training, quantization, distillation, and pruning
- ● Work closely with all the Autonomy teams within Zoox, including Perception, Prediction, Planner, Simulation, and Collision Avoidance
- ● Act as a force multiplier for internal customers
- ● Build and operate the base layer of ML tools, model development, and serving systems for in- and off-vehicle ML use cases
Application Notes
If you want to learn more about our stack behind autonomous driving, please look here. If you want to learn more about our ML Infrastructure, here is one of our past talks at re:Invent.
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