[집중채용] Senior AI Engineer (Driving VLM/VLA)

✓ 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 driving foundation models using VLM/VLA with large-scale real autonomous driving data to improve scene understanding, multimodal reasoning, and planning performance. Build and evaluate multimodal sequential models trained on camera/video, map, trajectory, actions, and language; develop applications like captioning, VQA, auto-labeling, and retrieval. Design dataset pipelines, training recipes, benchmarks, and ablations, and partner with Simulation/Data/ML Platform teams to integrate models into autonomous driving systems.

Location: South Korea

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Design and develop driving foundation models based on Vision-Language-Action using autonomous driving data.
•Train and evaluate multimodal sequential models using camera/video, map, trajectory, action, and language modalities.
•Develop models for driving scene understanding, temporal reasoning, agent interaction modeling, and risk/event understanding.
•Build VLM-based application features such as scene captioning, visual question answering, auto-labeling, data mining, and retrieval.
•Create large-scale multimodal datasets and plan training recipes, evaluation benchmarks, and ablation experiments, collaborating to integrate with autonomous driving systems.

Key Requirements

•5+ years of research/development experience in Computer Vision, Machine Learning, Robotics, Autonomous Driving, or Multimodal AI, or equivalent proven achievements in Foundation Model/Multimodal/Generative AI.
•Experience building and training deep learning models using PyTorch.
•Deep understanding and implementation experience with one or more of: vision/video models, VLM, VLA, world model, trajectory prediction, imitation learning.
•Experience processing multimodal or sequential data such as images, video, sensors, trajectory, language, and actions.
•Understanding of one or more of Transformer, diffusion, autoregressive models, and representation learning.

Experience:5+ yearsAutonomous drivingRoboticsMultimodal AIFoundation modelGenerative AI

Skills:Independent problem definitionExperiment designProactive iteration

Tech Stack:PyTorchTransformerDiffusionAutoregressive model

Company Brief

42dot

Website

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42dot

1 week ago

[집중채용] Senior AI Engineer (Driving VLM/VLA)

✓ 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: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Design and develop driving foundation models based on Vision-Language-Action using autonomous driving data.
•Train and evaluate multimodal sequential models using camera/video, map, trajectory, action, and language modalities.
•Develop models for driving scene understanding, temporal reasoning, agent interaction modeling, and risk/event understanding.
•Build VLM-based application features such as scene captioning, visual question answering, auto-labeling, data mining, and retrieval.
•Create large-scale multimodal datasets and plan training recipes, evaluation benchmarks, and ablation experiments, collaborating to integrate with autonomous driving systems.

Key Requirements

•5+ years of research/development experience in Computer Vision, Machine Learning, Robotics, Autonomous Driving, or Multimodal AI, or equivalent proven achievements in Foundation Model/Multimodal/Generative AI.
•Experience building and training deep learning models using PyTorch.
•Deep understanding and implementation experience with one or more of: vision/video models, VLM, VLA, world model, trajectory prediction, imitation learning.
•Experience processing multimodal or sequential data such as images, video, sensors, trajectory, language, and actions.
•Understanding of one or more of Transformer, diffusion, autoregressive models, and representation learning.

Experience:5+ yearsAutonomous drivingRoboticsMultimodal AIFoundation modelGenerative AI

Skills:Independent problem definitionExperiment designProactive iteration

Tech Stack:PyTorchTransformerDiffusionAutoregressive model

Company Brief

42dot

Website