Job Description
The role involves building and maintaining scalable, reliable data annotation systems to support autonomous driving technology, ensuring high-quality labeled data for machine learning models, and applying ML research to optimize the data labeling lifecycle.
Key Responsibilities
- Build highly available, fault-tolerant systems for data annotation
- Productionize core infrastructure for autonomous driving data systems
- Improve label quality through data-driven metrics and monitoring
- Apply machine learning research to automate and optimize data labeling processes
Requirements
- You have a B.Sc. or M.Sc. degree and 5 years of relevant industry experience.
- You have experience in designing, building, and operating highly scalable and reliable distributed data systems.
- You have experience leading cross-team projects and have excellent communication skills.
- You are experienced in defining technical visions, creating roadmaps, and setting timelines and prioritization for a team or project.
- You have strong problem-solving and programming skills in Python, C, or Go.
Benefits & Perks
Compensation/salary range between $235,030 and $352,290 depending on experience and qualifications
Annual performance bonus
Equity options
Competitive benefits package
Ready to Apply?
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