Leads development of scalable, fault-tolerant data annotation systems for autonomous driving, productionizing infrastructure, improving label quality with ML-driven metrics, and automating labeling workflows. Requires 5+ years experience in distributed data systems and strong Python/C++/Go skills.
235k – 352k
On-site5+ YOEEngineering Management
About the role
Responsibilities
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
Requirements
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 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
Nice-to-Haves
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
Compensation
Base pay range: $235,030 - $352,290
Eligible for annual performance bonus, equity, and competitive benefits package
Skills
PythonC++GoDistributed SystemsMachine LearningData AnnotationObservabilityMonitoringScalable SystemsMl Research
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