Zoox is a purpose-built autonomous vehicle designed for riders, not drivers. Learn more about the Zoox robotaxi and the future of ride-hailing. Backed by Lux.
About the role
The Core Data Science team builds the products and data assets that let teams across Zoox measure and improve the autonomy and operational performance of our fleet. In this role, you'll develop the algorithms that run our robotaxi fleet: matching vehicles to riders and other missions, staging vehicles where and when they're needed, routing, and pricing. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- PhD or MS with 2+ years of relevant industry or research experience, in operations research, robotics, controls, transportation, computer science, applied math, or a related field
- Strong coding skills in Python, C++, or Rust, you write clean, tested, version-controlled code
- Ability to turn ambiguous real-world problems into well-defined models and explain the tradeoffs to non-specialists
- Good communication and collaboration skills
More about this role
The Core Data Science team builds the products and data assets that let teams across Zoox measure and improve the autonomy and operational performance of our fleet. In this role, you'll develop the algorithms that run our robotaxi fleet: matching vehicles to riders and other missions, staging vehicles where and when they're needed, routing, and pricing.
You'll also model what goes into those decisions: rider demand, the value of the data our R&D fleet collects, servicing needs, and business inputs like events and policies. You'll be the optimization generalist on the team, working alongside specialists in marketplace economics, forecasting, and autonomy, and you'll see your algorithms run on a real autonomous fleet. You’ll join a diverse, experienced team with rapidly growing scope while working with one of the industry’s most valuable autonomous vehicle datasets.
- Design, prototype, and help deploy algorithms for vehicle assignment, staging, routing, and pricing
- Model the inputs to orchestration (rider demand, data-collection value, servicing needs, events, and policies) as objectives and constraints
- Work with specialists in marketplace economics, forecasting, and autonomy...
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