Sr. Machine Learning Engineer, Autonomy

The role

You will lead the development of end-to-end driving, VLA, or world model systems. You will define and implement scalable autonomy architectures and drive technical initiatives from concept to deployment on real vehicles.

What you will do

• Lead development of end-to-end driving, VLA, or world model systems.
• Define and implement scalable autonomy architectures.
• Adapt foundation models for autonomous driving.
• Drive major technical initiatives from concept to deployment.
• Improve training, evaluation, and data efficiency.
• Mentor engineers and contribute to team growth.

Required qualifications

• Demonstrated grit, ownership, and a track record of driving difficult technical problems from ambiguity to successful deployment.
• Bachelor's, Master's, or PhD in Computer Science, Electrical Engineering, Robotics, or a related field.
• 5+ years of experience building ML systems.
• Proven track record of shipping production ML systems.
• Experience leading technical projects from concept to deployment.
• Strong Python and PyTorch (or JAX) skills.

Nice to have

• Autonomous driving or robotics experience.
• End-to-end driving, VLA/VLM models, world models, or foundation models.
• Large-scale distributed training.
• Simulation, synthetic data, or safety-critical systems.
• Publications at top conferences.

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 aim to build a self-managing urban transportation operating system.