Job Description
The Software Engineer will support high-volume data labeling operations and develop ML Ops solutions to improve data quality and coverage for autonomous driving technology, working collaboratively across teams to build reliable production services and innovative industry-leading tools.
Key Responsibilities
- Support high volume data labeling operations through production services
- Develop data models and interfaces for autonomy data consumers
- Apply production best practices to ensure platform reliability
- Develop new features for labeling applications
- Collaborate with cross-functional teams to drive projects from inception to delivery
- Implement ML Ops best practices to improve data coverage and quality
Requirements
- 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
- Expertise with production backend services
- Experience with Cloud computing, Kubernetes, and DevOps practices
- Proficiency in C and Python programming languages
- Ability to apply production best practices to ensure platform reliability
- Ability to develop features for new labeling applications
- Experience collaborating across teams and functions including product, program, operations, and data science to drive projects from inception to delivery
- Experience applying ML Ops best practices to design processes for improving data coverage and quality
Benefits & Perks
Compensation/salary range: 126,000 - 201,000 per year
Annual bonus
Equity compensation
Hybrid work environment with in-office presence at least 3 days per week
Benefits (unspecified but included in compensation package)
Ready to Apply?
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