Hiring: Senior ML Platform Engineer (Autonomous Driving) Company: 42dot Location: Sunnyvale, CA Job Posted Time: 2026-09-10 10:13:06 Target Skills & Keywords : Airflow, Bootstrap, Data Lakehouse, Data Pipeline, Data Warehouse, Databricks, Delta Lake, Hive, Machine Learning, MongoDB, PostgreSQL, PyTorch, Python, Spark, TensorFlow About the job Experience: •7 years of experience in Data Engineering or ML Platform roles Required Skills: •Set technical strategy and oversee development of high scale, reliable data platform to manage, visualize and serve large-scale datasets for ML model training and validation. •Build up the data lakehouse for autonomous driving scene datasets, including the sensor data, calibration data, as well as annotation data •Strategically drive Autonomous Driving Data SDK development, including scene data search, datasets preparation, dataset loading, etc. •Dig into performance bottlenecks all along the data processing pipelines, from data processing latency, data search latency to Test Procedure (TP) coverage. •Bootstrap and maintain infrastructure for Data Platform components—Data Processing Pipeline, Database, Data Lakehouse and Data Serving. •Partner cross-functionally with cross-functional teams, including ML algorithm, ML application, and Cloud Infra to align ML Platforms with overall Autonomous Driving System Architecture. Qualifications: •Bachelor's degree or higher in Computer Science, Engineering, Robotics, or a similar technical field. •Minimum of 7 years of experience in Data Engineering or ML Platform roles •Expert-level proficiency in Python and solid experience in Python SDK development •Solid working experience in Databases (e.g., MongoDB, PostgreSQL, etc) •In-depth knowledge of modern AI frameworks (e.g., PyTorch, TensorFlow etc.), especially the principle of distributed data loader for model training •Applied hands-on capability in data pipeline job orchestration with Databricks Workflows or Apache Airflow, as well as integrating data pipelines with machine learning models •Extensive experience with data technologies and architectures such as Data Warehouse (e.g., Hive) or Lakehouse (e.g., Delta Lake) •Excellent leadership and communication skills, with a demonstrated ability to lead technical projects •Understanding data governance principles, data privacy regulations, and experience implementing security measures to protect data •Understanding of Large Models, like VLM Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!