Avride is looking to solve the problem of developing and deploying state-of-the-art self-driving cars and delivery robots by building the data infrastructure that powers groundbreaking research and development across labeling pipelines, data preparation workflows, and model training processes.
Requirements
- Solid understanding of algorithms, data structures, and system design
- Strong proficiency in Python, including backend frameworks and asynchronous stacks (asyncio, aiohttp, FastAPI)
- Expertise with relational databases (preferably PostgreSQL): schema design, query optimization, ORMs (e.g., SQLAlchemy, Django ORM), and migrations (e.g., Alembic)
- Familiarity with cloud platforms and containerization (Docker, Kubernetes)
- Hands-on experience with cloud object storage (AWS S3, GCS, etc.)
- Experience with workflow orchestration (Argo, Airflow, etc.)
Responsibilities
- Design, develop, and own backend systems that manage the full lifecycle of labeled data—from ingestion to delivery—including core Python services, APIs, and databases.
- Build and scale data preparation and labeling pipelines to transform massive sensor streams (lidar, camera, radar) into label-ready formats and manage annotation workflows at scale, leveraging both automated and human labeling with modern orchestration frameworks.
- Design and implement robust integrations with external vendors and internal tools to ensure seamless data and feedback flow across labeling workflows.
- Develop automated validation and QA systems to safeguard dataset integrity, monitor quality, and surface key performance insights.
- Collaborate with ML and Perception teams to translate evolving requirements into scalable data solutions that directly drive model improvements.
- Boost human labeling efficiency by integrating ML automation into annotation workflows.
Other
- Bachelor's degree in Computer Science, Engineering, or related field, and 3+ years equivalent experience
- Candidates are required to be authorized to work in the U.S.
- The employer is not offering relocation sponsorship, and remote work options are not available.
