ML Platform Engineer (Autonomous Driving)
Core
Build the core data platform and ML training/eval platform for autonomous driving algorithms, managing large-scale datasets and high-performance data serving SDKs.
Role type
Senior IC ML Platform Engineer (Autonomous Driving)
Builds
Scalable distributed data platform, data lakehouse, and high-performance data serving SDKs for ML model training and evaluation.
Domain
Autonomous driving, big data infrastructure, cloud data engineering
Deliverable
production ML models | infrastructure
Required skills
Python SDK development, data pipeline orchestration (Databricks/Airflow), big data computing (Apache Spark), database management (MongoDB/PostgreSQL), data lakehouse architecture (Delta Lake/Hive)
Preferred skills
Autonomous vehicle sensor data handling (LiDAR/camera/radar), ML model training lifecycle management, modern AI frameworks (PyTorch/TensorFlow), data governance and privacy implementation
Technologies
Python, Databricks Workflows, Apache Airflow, MongoDB, PostgreSQL, Apache Spark, Delta Lake, Hive
Responsibilities
Develop high-scale reliable data platforms for dataset management and serving; Build autonomous driving data SDKs for scene data search and preparation; Construct and maintain data lakehouses for sensor, calibration, and annotation data; Optimize performance bottlenecks in data processing pipelines; Bootstrap and maintain infrastructure components for data platforms; Collaborate with cross-functional teams to align ML platforms with system architecture
Seniority
Senior, hands-on IC
