Machine Learning Engineer, Autonomy
Sunnyvale, United States · San Francisco, Califonia, US
- Pay
$145,000–205,000/yearAnnual period assumed — pay source
Compensation $145,000 - $205,000 Additional Information
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
ENGINEERING › Autonomous Driving (AD) — team source
Department: ENGINEERING › Autonomous Driving (AD)
From the employer’s posting
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
2. Do you now, or will you in the future, require immigration sponsorship for work authorization (for example, H-1B status)?
From the employer’s application form
What you’ll work on
Full postingWe'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.
You'll build models, write production code, analyze failures, and see your work run on real vehicles.
Develop and train ML models for autonomous driving.
Build scene understanding and driving intelligence capabilities.
From the employer’s posting
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
Responsibilities Develop and train ML models for autonomous driving. Contribute to end-to-end driving systems, VLA models, and world models.
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.
What you’ll bring
All qualificationsCore experience
- 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.
Qualification wording
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.
Education & alternatives
- 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.
Tools in this posting
- C++
- Python
- PyTorch
Source — Tool mentions in context
- Distributed training, simulation, or large-scale data processing. - C++ experience. Interview Process
- 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.
About 42dot
42dot is a mobility AI company committed to solving mobility challenges with software and AI.
In the employer’s words · Read in context · Company website ↗
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 28, 2026 · today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.
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Job description
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.
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
$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.
※ Please review the following information before applying.
How to work in 42dot, About 42dot Way →
Source details
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- Pay
Compensation $145,000 - $205,000 Additional Information
- Location & working pattern
San Francisco, Califonia, US
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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