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42dot

Unified platform for multi-modal urban mobility

AI Engineer Intern

Applied Machine LearningConfirmed live in the last 24 hours
InternshipPangyo-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, South KoreaNo salary listedHybrid

About the Job

Requirements

  • Applicants must be expected to graduate from or have graduated from a master's or doctoral program, or have less than one year of work experience.
  • Applicants with a foreign nationality must have immigration status that permits full-time employment upon conversion to a regular position.
  • Applicants must be able to start regular employment within one month after the internship ends, unless another arrangement is agreed upon.

Responsibilities

  • Design, implement, and validate autonomous driving systems and core AI agent technologies end to end.
  • Design autonomous driving algorithms or models using real-world vehicle data, or design and validate agent models based on large language models and speech AI.
  • Analyze and improve performance through simulation and real-road experiments in vehicle environments.
  • Implement research results in forms suitable for deployment in real systems.
  • Solve problems in close collaboration with production teams.
  • Develop 3D perception models for autonomous driving and analyze training data and ground truth.
  • Analyze perception failures from real-world driving logs and identify improvement directions.
  • Develop self-supervised pre-training pipelines for representation learning.
  • Improve architectures for efficient 3D vision.
  • Develop and experiment with end-to-end autonomous-driving planning models using imitation learning, reinforcement learning, and generative AI.
  • Develop integration between end-to-end planners, simulation, and real vehicle systems.
  • Validate model performance against scenarios and evaluation metrics in simulated and real vehicle environments, and analyze failure cases.
  • Train large language models and generate and manage high-quality training data.
  • Develop synthetic data generation and automated data-generation pipelines.
  • Define varied vehicle environments and expand data using environment scaling.
  • Develop training and evaluation pipelines to improve large language model agent performance.

About the Company

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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

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