Machine Learning Engineer, Driving Foundation Models
- Salary
- $175,000 - $250,000
- Level
- Mid
Not stated in the posting: work type, visa.
Open. First seen 27 October 2026.
About the role
We are looking for the best
42dot's standard text
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
Develop driving and physical AI foundation models. Support Aria VLA model development.
Responsibilities
- Data Curation & Pretraining: Design and manage massive, multi-terabyte datasets, including data scraping, filtering, deduplication, tokenization, and synthetic data generation.
- Distributed Model Training: Scale training across massive GPU/TPU clusters using parallel processing, custom data loaders, and framework optimization (PyTorch, JAX, or TensorFlow).
- Post-Training & Alignment: Implement instruction tuning, Reinforcement Learning from Human Feedback (RLHF), or direct preference optimization to align models with safety and behavior goals.
- Inference & Optimization: Compress and optimize models (quantization, pruning, speculative decoding) to run at low latency on cloud infrastructure or edge hardware like smartphones and robotics.
- Evaluation & Guardrails: Build benchmarking harnesses, hallucination checkers, and red-teaming pipelines to test model accuracy and safety.
Qualifications
- Languages: Python, C++, and Golang (for high-throughput systems).
- Frameworks: PyTorch, JAX, Hugging Face ecosystem, vLLM.
- Infrastructure: Kubernetes, Docker, multi-node distributed training (Megatron-LM, DeepSpeed), and cloud platforms (AWS, Azure, Google Cloud).
- Math & Theory: Linear algebra, calculus, probability, statistics, and deep learning architectures (Transformers, diffusion models).
42dot's standard text
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
- $175,000 - $250,000
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.
42dot's standard text
※ Please review the following information before applying.
- How to work in 42dot, About 42dot Way →
What this role asks for
Standard for data science / ML roles
PyTorch · Python
Common in data science / ML postings at any company.
70% of this description is written for the role. The rest is 42dot's standard text, folded away below.
Compared with 42dot's other open jobs.
The team: Autonomous Driving (AD) HIRES STEADILY
This role is one of 7 open in Autonomous Driving (AD). 5 were posted in the last 30 days and the oldest in July: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Python (5 of 7), PyTorch (4 of 7), C++ (3 of 7), Deep Learning (2 of 7), Machine Learning (2 of 7), TensorFlow (2 of 7)
OTHER ROLES ON THIS TEAM
- Sr. Evaluation, Validation & Simulation Engineer posted Oct 27
- Evaluation, Validation & Simulation Engineer posted Oct 27
- Sr. Machine Learning Engineer, Autonomy posted Oct 27
- Machine Learning Engineer, Autonomy posted Oct 27
- Speech Data Transcriber (Part-Time) posted Sep 10
- Senior ML Platform Engineer posted Jul 20
From the team and dates on 42dot's own job board.
See Machine Learning Engineer salaries in the United States →
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