# Machine Learning Engineer, Driving Foundation Models at 42dot

- Company: 42dot
- What the company does: 42dot is a technology company pioneering frictionless transportation services. 42dot develops technologies and platforms integrating autonomous driving, connected vehicles, and smart city infrastructure. Backed by Space Capital.
- Company website: https://42dot.ai
- Type: Startups (AI role)
- Level: Mid level
- Location: Sunnyvale, United States
- Work setup: On-site
- Pay: $175K to $250K base salary per year (USD)
- Posted: 2026-10-27
- Apply by: 2026-12-11
- Apply: https://jobs.ashbyhq.com/42dot/65bd0f6e-1e77-438f-9c52-5730922f132a?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/42dot-machine-learning-engineer-driving-foundation-models/

## About the role

Develop driving and physical AI foundation models. Support Aria VLA model development. Data Curation & Pretraining: Design and manage massive, multi-terabyte datasets, including data scraping, filtering, deduplication, tokenization, and synthetic data generation. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- 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)

Tags: ENGINEERING

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/42dot-machine-learning-engineer-driving-foundation-models/