AI Research Scientist
Embedding Vc · Milpitas, CA
About this role
**AI Research Scientist — Senior/Staff (Foundation Models)** **About RoboForce** RoboForce is an AI robotics company developing *Physical AI* powered Robo-Labor for dull, dirty, and dangerous work. Our robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability. We’re looking for a **Senior / Staff AI Research Scientist, Foundation Models** to advance **robotic embodied intelligence**. --- ## What you’ll do - **Design and deploy** vision-language(-action) models (**VLM/VLA**) for contextual understanding and generalized robot action policies. - **Develop and train world models** for action-conditioned prediction, long-horizon planning, and environment simulation—so robots can reason about consequences before acting. - **Research methods to improve world model fidelity** using multi-modal inputs (vision, language, proprioception, spatial representations). - **Build foundation models** with spatial reasoning capabilities for **high-precision robotic actions**. - **Integrate multi-modal data sources** (vision, language, speech, etc.) to enable natural human-robot communication. - **Optimize and deploy** models as production-grade solutions on RoboForce robotic platforms. --- ## Requirements - **PhD** in Machine Learning, Robotics, or related field, **or** Master’s degree with **4+ years** of relevant experience. - Proficiency in **Python** and deep learning frameworks (**PyTorch, JAX**, etc.). - Expertise in **large foundation models** (e.g., **VLM/VLA**). - Strong understanding of **world model architectures** and **action-conditioned generative modeling** for robot learning. - Solid knowledge of **multimodal models** and modern ML architectures (e.g., **transformers, diffusion models**). - **5 days/week in-office** collaboration with the teams. --- ## Bonus (nice to have) - Experience with **video generation/prediction** (e.g., diffusion-based video models, autoregressive video transformers) and applying them to world modeling or synthetic data generation. - Strong publication record at top conferences (**NeurIPS, ICML, CVPR, ICCV, CoRL, ICRA**, or equivalent). - Expertise in **neural network deployment** (e.g., **TensorRT**) and **GPU programming with CUDA**. - Proven ability to design **scalable experimentation** and **data pipelines**. --- ## Benefits - **Competitive stock options / equity** - **Health, dental, and vision insurance** - **401(k) plan** - **Visa sponsorship** and **green card support** for qualified candidates - **Lunches & dinners**, fully stocked kitchen, and regular team-building events
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