Machine Learning Engineer, Autonomy
$145k - $205k42dot
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
Were 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 youll help build the next generation of autonomous driving systems from the ground up. Rather than inheriting decisions made years ago youll help define and implement them.
This is a hands-on engineering role. Youll 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 todays engineers joined.
Were 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.
Bachelors Masters 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.
Interview Process
Application Review - Coding Test - 1st interview - 2nd interview - Offer Negotiation - Hiring
The screening procedures may vary depending on the position schedule or other circumstances.
You will be individually notified of the screening schedule and results via the email address provided in your application.
Compensation
$145000 - $205000
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 .
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.
Please review the following information before applying.
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