Machine Learning Engineer, Autonomy

We are looking for the best About Us 42dot is a mobility AI company committed to solving mobility challenges with software and AI. As the Global Software Center of Hyundai Motor Group, 42dot pioneers the future of mobility by advancing the development of software-defined vehicles.

We develop safety-first, user-centric software-defined vehicle technologies that deliver the latest performance through continuous updates like smartphones. By advancing software and AI technology, 42dot envisions a world where everything is connected and moves autonomously through a self-managing urban transportation operating system.

About The Role

We're building a new autonomous driving organization to deliver production-ready L4 autonomy across trucks, buses, passenger vehicles, and robotaxis.

Our approach is ML-first, centered around end-to-end learning, foundation models, vision-language-action (VLA) models, and world models.

As one of the founding members of the autonomy organization, you'll help build the next generation of autonomous driving systems from the ground up. Rather than inheriting decisions made years ago, you'll help define and implement them.

This is a hands-on engineering role. You'll build models, write production code, analyze failures, and see your work run on real vehicles.

Founding Team Opportunity

Most autonomy programs were started years ago. The major architectural decisions and engineering culture were established long before today's engineers joined.

We're at a different stage.

The engineers who join now will help define and build our autonomy platform, influencing architecture, technical direction, engineering culture, and future roadmap.

Responsibilities

• Develop and train ML models for autonomous driving.
• Contribute to end-to-end driving systems, VLA models, and world models.
• Build scene understanding and driving intelligence capabilities.
• Improve training pipelines, evaluation systems, and data workflows.
• Analyze failures and improve model performance.
• Collaborate with software, systems, and vehicle engineering teams.

Qualifications

• Demonstrated grit, ownership, and problem-solving ability. We value engineers who take initiative, thrive in ambiguity, chase difficult problems, and consistently deliver results.
• Bachelor's, Master's, or PhD in Computer Science, Electrical Engineering, Robotics, or a related field.
• 1-4 years of experience building ML systems, or equivalent research experience.
• Strong Python and PyTorch (or JAX) skills.
• Strong fundamentals in machine learning, deep learning, computer vision, robotics, or related fields.

Preferred Qualifications

• Autonomous driving or robotics experience.
• Foundation models, VLMs, VLA models, end-to-end learning, or world models.
• Distributed training, simulation, or large-scale data processing.
• C++ experience.