[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: 1 hour 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

Website

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42dot

1 week 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: 1 hour agoStatus: Live

Job Summary

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

Website