About the Work
- Build highly available, fault-tolerant systems for data annotation
- Productionize core infrastructure for our state-of-the-art autonomy system
- Elevate label quality by implementing data-driven metrics and monitoring
- Apply cutting-edge ML research to automate and optimize the data labeling lifecycle
About You
- B.Sc. or M.Sc. degree and 5+ years of relevant industry experience
- Experience in designing, building, and operating highly scalable and reliable distributed data systems
- Experience leading cross-team projects and have excellent communication skills
- Experienced in defining technical visions, creating roadmaps, and setting timelines and prioritization for a team or project
- Strong problem-solving and programming skills in Python, C++ or Go
Bonus Points
- Experience building reliable large scale distributed systems
- Experience with observability, monitoring and incident management
- Experience applying ML research in real world applications
- Experience leading teams, designing and executing team roadmaps
Base pay range is $235,030 - $352,290. Eligible for annual performance bonus, equity, and competitive benefits package.