Staff Machine Learning Engineer

### Who you are
- We are looking for highly motivated individuals who enjoy solving challenging real-world problems and leading projects
- MS or PhD or equivalent experience (5+ years) in Computer Science or related field
- Experience in computer vision or robotics
- Experience with training and deploying deep learning models
- Proficiency in Python and/or C++
- Experience leading cross-functional projects
- Experience with high definition (HD) maps
- Experience with 3D computer vision, 3D reconstruction, or SLAM
- Experience with geospatial data and coordinate systems

### What the job involves
- You will act as a technical lead on the 3D Mapping team, a diverse set of engineers who are working together to build large-scale HD mapping algorithms, processes, and pipelines
- Your technical leadership will be critical as the team rapidly scales the rate at which we map new cities and the rate at which we update maps
- Design and develop novel algorithms and ML models for 2D/3D machine perception and mapping in real-world environments
- Contribute to large-scale, automated mapping pipelines
- Be a technical leader on the team, maintaining coding and ML development best practices and making architectural decisions
- Help to set the vision for the team and build out technical roadmaps
- Coordinate cross-functional initiatives and collaborate with engineers from Mapping, Perception, Planner, Simulation, Data Science, and more
- Drive the use of metrics and tools to guide development, validate algorithms, and measure progress

### Benefits
- Paid parental leave
- Affinity groups and sports clubs
- Work from home opportunities
- Health insurance
- Our crew’s health and happiness is our first priority. We offer comprehensive health and mental health support, a wellbeing program, and unlimited and flexible paid time away
- We invest in our crew—and their families—for the long term. That includes generous family planning support, caregiver support, and strong cash compensation with great equity upside
- We look after our crew when they’re in the office too. Our famous food program is a great example, featuring a daily changing menu of local and sustainable dishes
- There’s a busy calendar of social events at Zoox, with more sports teams than you can count. And, of course, playing with robots is an important part of the job description