AI Engineer (VLM & VLA)
Tasks
- Build pipelines for data ingestion and labeling
- Build representations for perception and scene understanding
- Collaborate with robotics hardware and safety teams
- Create simulation-to-real training workflows
- Deploy models on edge platforms
- Design datasets for multimodal learning
- Develop and optimize vision-language-action models
- Implement grounding layers for natural language instructions
- Integrate language reasoning with control policies
- Interface model outputs with robot control systems
- Optimize training pipelines and evaluation frameworks
- Participate in user and field testing
Perks/Benefits
Skills/Tech-stack
Dataset creation | Deep learning | Diffusion Models | GPU Acceleration | Imitation Learning | JAX | Language Models | Language Processing | ML Tooling | Multimodal encoders | Natural Language | Natural Language Processing | Perception | PyTorch | Reinforcement Learning | Robotics simulation | Spatial Reasoning | Transformers
Education
Roles
AI | AI Engineer | Engineer
Regions
Countries
States
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