Multimodal Model Architect
1 week ago
We are seeking an expert in multimodal models to develop advanced systems that bridge perception and language understanding for autonomous systems.
The ideal candidate will have a strong background in Computer Vision, Machine Learning, and Large Language Models. Experience with distributed training, Reinforcement Learning, and Imitation Learning is also desired.
A Master's or PhD in a relevant field is required. The candidate should have 1-2+ years of experience in the field and strong proficiency in PyTorch or JAX.
Key Responsibilities:
- Pretrain and finetune vision-language-action (VLA) models aligning them with robotics data including video, teleoperation, and language.
- Build perception-to-language grounding for referring expressions, affordances, and task graphs.
- Develop interfaces to convert language intents into actionable skills and motion plans.
- Create evaluation pipelines for instruction following, safety filters, and hallucination control.
Benefits:
- Improved performance on language-based tasks.
- Grounding precision and latency.
- Sim-to-real performance retention.
Others:
- Domain Notes:
- Humanoids: Language-guided manipulation and tool use.
- AGVs (Autonomous Ground Vehicles): Natural language tasking for warehouse operations; semantic maps.
- Cars: Gesture and sign interpretation; driver interaction.
- Drones: Natural language mission specification; target search and inspection.
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