(R&D-029) AI Engineer (VLAs)
Ota-ku, Tokyo, Japan
JPY 4500K-6500K (estimate) Entry-level Full Time
Tasks
- Build inference infrastructure
- Build training environments for image video language and action data
- Build training infrastructure
- Build training pipelines with real world data
- Collaborate with software engineers and robotics engineers
- Conduct error analysis
- Design evaluation metrics
- Develop vision-language models
- Evaluate model performance
- Fine-tune multimodal models
- Prepare and preprocess data
- Research latest machine learning research
- Select technologies for model improvement
- Set up experimental environments
Perks/Benefits
Skills/Tech-stack
AWS | Action Generation | Actuator control | C++ | CI/CD | Cloud infrastructure | Data Preprocessing | Docker | Domain Adaptation | Error Analysis | Fine Tuning | GCP | Language Models | Low-level control | MLOps | Machine Learning | Model Evaluation | Multimodal Learning | PyTorch | Python | ROS | ROS2 | Robotics | Sensor Integration | Sim2real | Simulation | Training pipelines | Vision Language Models | Vision-language
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
Cities
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