Job Description
The Software Engineer will work on the Machine Learning Data Engine Labels Platform team, supporting high-volume data labeling operations and developing ML Ops solutions to improve data quality and platform reliability for autonomous driving technology.
Key Responsibilities
- Support high-volume data labeling operations through production services
- Develop data models and interfaces for autonomy data consumers
- Ensure platform reliability by applying production best practices
- Develop features for new data labeling applications
- Collaborate with cross-functional teams to drive projects from inception to delivery
- Design processes to improve data coverage and quality using ML Ops best practices
Requirements
- A BS, MS, or PhD degree in Computer Science or a related field. For non-CS majors or BS candidates, strong software experience is required.
- At least 4 years of experience in industry.
- At least 4 years of expertise with production backend services.
- Experience with Cloud technologies, Kubernetes, and DevOps practices.
- Proficiency in C and Python programming languages.
Benefits & Perks
Salary range: $126,000 - $201,000 per year
Annual bonus
Equity compensation
Benefits (unspecified)
Ready to Apply?
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