[MS/PhD Intern] AI Engineer (정규직 전환형)

42dot
South Korea
Workplace: HybridInternshipFunction: Data Science & Machine LearningEducation: mastersSkills: ["End-to-end execution","Collaboration","Problem solving"]

Develop camera-based end-to-end autonomous driving and next-generation VLA/VLM algorithms, using production-level code and an MLOps-driven automated data pipeline. Work end-to-end on design, implementation, validation, and performance improvements through real-vehicle data, simulation, and field experiments. Collaborate closely with production teams, contributing research results in a form that can be applied to real systems.

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FursaFursa
42dot
42dot
1 month ago

[MS/PhD Intern] AI Engineer (정규직 전환형)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 20 hours agoStatus: Live

Job Summary

Develop camera-based end-to-end autonomous driving and next-generation VLA/VLM algorithms, using production-level code and an MLOps-driven automated data pipeline. Work end-to-end on design, implementation, validation, and performance improvements through real-vehicle data, simulation, and field experiments. Collaborate closely with production teams, contributing research results in a form that can be applied to real systems.
Location: South Korea
Workplace: Hybrid
Employment Type: Internship
Job Function: Data Science & Machine Learning
Seniority: Intern level

Key Responsibilities

  • •Perform end-to-end design, implementation, and validation for core autonomous driving technologies.
  • •Design and validate algorithms/models using real on-vehicle data.
  • •Run simulation and real-world experiments to analyze performance and iterate improvements.
  • •Implement research outcomes in a form that can be applied to production systems.
  • •Collaborate closely with production teams to solve problems.

Key Requirements

  • •MS/PhD level intern role for applying research to production autonomous driving systems.
  • •Ability to perform end-to-end design, implementation, and validation for core autonomous driving technologies.
  • •Experience designing and validating algorithms/models based on real on-vehicle data.
  • •Ability to analyze and improve performance using simulation and real-world experiments.
  • •Capability to implement research results in forms usable by real systems and collaborate with production teams.
Education:Master's
Skills:End-to-end executionCollaborationProblem solving
Tech Stack:MLOpsLinuxSimulationMultimodal modelsVLMVLAAuto-labelingRetrievalData miningBenchmarkAblation

Company Brief

42dot
Develops autonomous driving and mobility software platforms, including AI-based perception, mapping, routing, and connected-vehicle technologies. It works on next-generation transportation systems and self-driving vehicle capabilities for automotive applications.
Industry: Autonomous Vehicles
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: Seoul, South Korea
Founded: 2019
WebsiteLinkedIn