42dot
Machine Learning Engineer, Autonomy
Sunnyvale, United States
Get past the screening software and onto a recruiter's desk
hirly rewrites your resume for this job — matching the keywords and skills in the posting, moving your most relevant experience to the top, and writing a cover letter to fit. About 30 seconds.
- Keywords matched to this posting
- Fit score before you apply
- Cover letter included
Apply from your AI assistant
Connect hirly to Claude and ask it to apply to this job. hirly tailors your resume, fills the employer’s form and asks before sending. ChatGPT: manual setup today.
Some employer sites stop an application at a CAPTCHA or sign-in and hand it back with a link. Applying needs a paid plan. Works with any assistant that supports MCP.
hirly's read of this role
- Role family
- Data & ML
- Seniority
- Mid level
- Stated salary
- $145,000 – $205,000 per year
- Country
- US
- Work mode
- Remote-friendly
- First seen by hirly
- 27 Oct 2026
Derived automatically from the posting. Upload your resume above to see how the role scores against it.
the posting
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.
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 [email protected] .
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 →
Listed on hirly, a job board. hirly is not the employer: 42dot is hiring for this role.
Similar jobs
- Machine Learning Engineer 4Capitalone · 5 LocationsFirst seen today
- Machine Learning EngineerHive · San FranciscoFirst seen today
- Machine Learning EngineerHive · SeattleFirst seen today
- Machine Learning EngineerSuperhuman · Hub - San FranciscoFirst seen today
- Machine Learning EngineerKargo22 · New York, New York, United StatesFirst seen today
Browse similar roles
Want this one?
Upload your resume and hirly rewrites it for this job and writes the cover letter — in about thirty seconds, before you sign up.
Tailor my resume for this job