4

42dot

Unified platform for multi-modal urban mobility

Senior Machine Learning Engineer - Autonomy

Applied Machine LearningConfirmed live in the last 24 hours
Full-time$210k - $300kIn-person

About the Job

Requirements

  • A bachelor's, master's, or PhD in Computer Science, Electrical Engineering, Robotics, or a related field is required.
  • At least 5 years of experience building machine learning systems is required.
  • A proven track record of shipping production machine learning systems is required.
  • Experience leading technical projects from concept to deployment is required.
  • Strong Python and PyTorch or JAX skills are required.

Responsibilities

  • Lead development of end-to-end driving, vision-language-action, 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.

Desired Qualifications

  • Autonomous driving or robotics experience.
  • Experience with end-to-end driving, vision-language-action or vision-language models, world models, or foundation models.
  • Experience with large-scale distributed training.
  • Experience with simulation, synthetic data, or safety-critical systems.
  • Publications at top conferences.

About the Company

42dot

Unified platform for multi-modal urban mobility

42dot.ai provides a platform called UMOS (Urban Mobility Operating System) that connects and manages multiple transportation modes—such as cars and drones—within a single system for cities, agencies, and private clients. UMOS enables efficient transportation management, demand-response services, and smart logistics by integrating data and operations across modes, powering operations through a subscription-based platform-as-a-service model. Unlike single-mode solutions, 42dot.ai offers multi-modal, city-focused orchestration that bridges public, private, and logistics needs. The company aims to transform urban mobility by helping cities run more efficiently, cut costs, and improve the experience for commuters and logistics providers.

Company size
501-1,000
Company stage
Growth Equity (Venture Capital)
Total funding
$731.9M
Headquarters
Seoul, South Korea
Founded
2019

Recently Posted Jobs

Explore more opportunities at 42dot

See more jobs