42dot
Senior ML Platform Engineer (Autonomous Driving)
$133K–$254K
Sunnyvale, United States · Hybrid · Senior · Full-time · Posted Apr 29, 2026
- Experience
- Minimum of 7 years in Data Engineering or ML Platform roles.
- Education
- Bachelor's degree or higher in Computer Science, Engineering, Robotics, or a similar technical field.
About the job
Leads development of scalable data and ML platforms that support autonomous-driving dataset management, model training, evaluation, and deployment.
What you'll do
- Set technical strategy and oversee a high-scale platform for managing, visualizing, and serving ML datasets.
- Develop the autonomous-driving data lakehouse and SDK for searching, preparing, and loading scene data.
- Maintain platform infrastructure, address pipeline performance bottlenecks, and coordinate with ML and cloud teams.
What they ask for
- Bachelor's degree or higher in Computer Science, Engineering, Robotics, or a similar technical field.
- Minimum 7 years of experience in Data Engineering or ML Platform roles.
- Expert-level Python proficiency and solid Python SDK development experience.
- Experience with databases, AI frameworks, data pipeline orchestration, data warehouse or lakehouse architectures, and big data engines.
Nice to have
- Experience with autonomous-vehicle sensor data or the ML model training lifecycle.
- Understanding of data governance, privacy, security, or Large Models such as VLM.
Pay
$133,000 - $254,0000 (currency not stated; pay type not stated); $133K – $254K (currency not stated; total pay, includes bonus)
Tools
Python, MongoDB, PostgreSQL, PyTorch, TensorFlow, Databricks Workflows, Apache Airflow, Apache Spark
AI focus
Builds data and ML training/evaluation platforms for autonomous-driving algorithms, supporting dataset preparation, model training, validation, deployment, and monitoring.
Model-written summary · the original posting is authoritative