In this role, you will:
- Build scalable ML pipelines including experimentation, production and monitoring
- Build capabilities which can be leveraged across the company for demand prediction and ETA estimations
- Collaborate with our fleet operation team to develop models across wide range of problems
- Identify key areas of investment for our perception, prediction, and planning teams
- Establish best practices and statistical rigor around data-driven decision-making
Qualifications
- Bachelor's, Master's or PhD in CS, statistics, mathematics or relevant fields
- Fluency in Python or Scala
- Familiarity with SQL
- Experience with Spark or large-scale data analysis
- Experience designing metrics, building mechanisms to fuel business insights, and driving decision-making at various levels in an organization
Bonus Qualifications
- Experience with training frameworks like PyTorch, leveraging GPUs efficiently for distributed model training
- Basic fluency in C++
- Experience with geospatial data analysis
- Familiarity with or exposure to experimentation platforms
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What We Do
Zoox is an autonomous mobility company that was founded to provide a safer, cleaner, and more enjoyable future on the road. To achieve that goal, the company has spent the past 10 years creating a purpose-built robotaxi that gives the world a better way to ride.
Why Work With Us
At Zoox, we are working to solve one of the greatest technological challenges of our generation.
From the beginning, we have been focused on our goal of reimagining transportation from the ground up. We are a mission-driven community of innovators working together to create a safer, cleaner, and more enjoyable future on the road.
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