Sobre este puesto de Sr. Machine Learning Engineer, Autonomy en 42dot
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, VLA models, and world models.
As a founding senior engineer, you'll make the architecture decisions most autonomy teams made years ago, then personally drive their implementation into production.
We are looking for builders, not spectators.
You'll lead major technical initiatives from ambiguous problems to deployed systems running on real vehicles while helping shape the future of the organization.
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 assembling the founding team that will define and build our autonomy platform.
The engineers who join now will have outsized influence on architecture, technical roadmap, engineering culture, hiring standards, and future direction.
Responsibilities
Lead development of end-to-end driving, VLA, or world model systems.
Define and implement scalable autonomy architectures.
Adapt foundation models for autonomous driving.
Drive major technical initiatives from concept to deployment.
Improve training, evaluation, and data efficiency.
Mentor engineers and contribute to team growth.
Qualifications
Demonstrated grit, ownership, and a track record of driving difficult technical problems from ambiguity to successful deployment.
Bachelor's, Master's, or PhD in Computer Science, Electrical Engineering, Robotics, or a related field.
5+ years of experience building ML systems.
Proven track record of shipping production ML systems.
Experience leading technical projects from concept to deployment.
Strong Python and PyTorch (or JAX) skills.
Preferred Qualifications
Autonomous driving or robotics experience.
End-to-end driving, VLA/VLM models, world models, or foundation models.
Large-scale distributed training.
Simulation, synthetic data, or safety-critical systems.
Publications at top conferences.
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
$210,000 - $300,000
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.
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