Senior ML Platform Engineer (Autonomous Driving)

The role

AD ML Platform Engineers build the core data platform and ML training and evaluation platform for autonomous driving algorithms. They develop distributed systems for large-scale datasets and high-performance data serving SDKs.

What you will do

• Set technical strategy and oversee development of high scale, reliable data platform.
• Build up the data lakehouse for autonomous driving scene datasets.
• Drive the Autonomous Driving Data SDK development.
• Dig into performance bottlenecks in data processing pipelines.
• Bootstrap and maintain infrastructure for Data Platform components.
• Collaborate with cross-functional teams to align ML Platforms with Autonomous Driving System Architecture.

Required 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)
• Strong understanding of modern AI frameworks (e.g., PyTorch, TensorFlow etc.), especially the principle of distributed data loader for model training
• Hands-on experience with 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)
• Experience with Apache Spark or other big data computing engines
• Excellent leadership and communication skills, with a demonstrated ability to lead technical projects

Nice to have

• Experience with autonomous vehicle sensor data (e.g., LiDAR, camera, radar)
• Experience with ML model training lifecycle (e.g., data preparation, model training / validation / deployment, etc)
• Understanding data governance principles, data privacy regulations, and experience implementing security measures to protect data
• Understanding of Large Models, like VLM

Before you apply

• Application Review - Coding Test - 1st interview - 2nd interview - Offer Negotiation - Hiring
• All documents must be submitted in PDF format and under 30MB in size.

About the company

42dot is a mobility AI company and the Global Software Center of Hyundai Motor Group. They develop software-defined vehicle technologies and autonomous urban transportation operating systems.