Apply production best practices to ensure platform reliability
Feature development for new labeling applications
Collaborate across teams and functions (product, program, operations, data science) to drive projects from inception to delivery
Apply ML Ops practices to design processes for improving data coverage and quality

🎯 Requirements

BS / MS / PhD degree in Computer Science or a related field
For non-CS majors or BS candidates, strong software experience (4+ years in industry)
4+ years backend services exp (Cloud, Kubernetes, DevOps)
Experience with C++ and Python
Domain knowledge: data annotation, autonomous driving, CV; Golang/TypeScript
Tech: AWS, Terraform, Bazel, Docker, Kubernetes, gRPC, SQL, Elasticsearch

🎁 Benefits

Annual bonus, equity, and benefits
Hybrid work environment with in-office at least 3 days per week
Commitment to safety and inclusion
Opportunities to work on mission-critical projects

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