Multimodal Model Developer
6 days ago
Research and Development Position
We are seeking a highly skilled Research Engineer to build advanced models that bridge perception and language understanding for autonomous systems across multiple platforms.
Main Responsibilities:
- Develop multimodal models using deep learning techniques for instruction following, scene grounding, and tool use.
- Pretrain and fine-tune vision-language models (VLMs) aligning them with robotics data including video, teleoperation, and language inputs.
- Build perception-to-language grounding for referring expressions, affordances, and task graphs in robotics applications.
- Create evaluation pipelines for instruction following, safety filters, and hallucination control.
- Collaborate with cross-functional teams for integration of models into robotics platforms.
Required Skills and Qualifications:
- Master's or Ph.D. in Computer Science, Robotics, or a related field.
- 1-2+ years of experience in Machine Learning and/or Computer Vision.
- Strong proficiency in PyTorch or JAX; experience with Large Language Models (LLMs) and VLMs.
- Familiarity with multimodal datasets, distributed training, and Reinforcement Learning/Imitation Learning.
Nice-to-Haves:
- Experience with world models, diffusion-policy integration, and speech interfaces in robotics.
- Familiarity with sim-to-real transfer in robotics applications.
- Success on language-based tasks such as natural language processing and machine translation.
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