
Multimodal Vision-Language Expert
2 days ago
Job Title: Vision-Language Model Engineer
About the Role:
We are seeking a highly skilled Vision-Language Model (VLM) engineer to develop multimodal models for instruction following, scene grounding, and tool use across various platforms. The role involves designing advanced models that bridge perception and language understanding for autonomous systems.
Key Responsibilities:
- Pretrain and fine-tune VLMs, aligning them with robotics data including video, teleoperation, and language.
- Breathe life into perception-to-language grounding for referring expressions, affordances, and task graphs.
- Create seamless interfaces to convert language intents into actionable skills and motion plans using Toolformers/actuators.
- Develop comprehensive evaluation pipelines for instruction following, safety filters, and hallucination control.
- Collaborate with cross-functional teams to integrate models into robotics platforms.
Requirements:
- Master's or PhD in a relevant field.
- 1–2+ years of experience in Computer Vision/Machine Learning.
- Strong proficiency in PyTorch or JAX; experience with Large Language Models (LLMs) and VLMs.
- Familiarity with multimodal datasets, distributed training, and Reinforcement Learning (RL)/Imitation Learning (IL).
Preferred Qualifications:
- Experience with world models, diffusion-policy integration, and speech interfaces.
- Familiarity with sim-to-real transfer in robotics applications.
Success Metrics:
- Enhanced performance on language-based tasks.
- Grounding precision and latency optimization.
- Sim-to-real performance retention.
Domain Overview:
The VLM Research Engineer will work on developing multimodal models for various domains, including humanoids, AGVs, cars, and drones.
How to Apply:
Interested candidates can submit their resume and cover letter to us with the subject line: 'VLM Research Engineer Application'.
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