Machine Learning Engineer, Autonomy

We are looking for the best

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.

Compensation

• $145,000 - $205,000

Additional Information

• In accordance with fair hiring practices, do not include any personal information unrelated to your job qualifications (e.g., Social Security Number, family relations, marital status, age, photo, physical condition, place of birth, etc.) in your resume.
• All documents must be submitted in PDF format and under 30MB in size.
• If you experience issues uploading your resume, please send it along with the job posting URL to recruit@42dot.ai.
• We strongly encourage applications from U.S. veterans and candidates eligible for employment preference under applicable laws.
• Qualified individuals with disabilities are encouraged to apply and will receive consideration under the Americans with Disabilities Act (ADA).
• 42dot does not accept unsolicited resumes and will not pay fees for any such submissions. Equal Opportunity Statement
• 42dot is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status.