Senior / Staff Ai Research Scientist, Foundation Models
Roboforce
Milpitas
Why RoboForce
- 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 — enabling robots to reason about the consequences of their actions before execution.
- Research approaches to improve world model fidelity using multi-modal inputs including vision, language, proprioception, and spatial representations.
- Develop foundation models with spatial reasoning capabilities to achieve 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.
- PhD degree in Machine Learning, Robotics, or related field, or Master's degree with 4+ years of relevant experience.
- Proficiency in Python and deep learning frameworks (e.g., PyTorch, JAX).
- Expertise in large foundation models (VLM, VLA, etc.).
- Strong understanding of world model architectures and action-conditioned generative modeling for robot learning.
- Decent understanding of multimodal models, modern ML architectures (transformers, diffusion models, etc.).
- Requires 5 days/week in-office collaboration with the teams.
- Experience with video generation or prediction models (e.g., diffusion-based video models, autoregressive video transformers) and their application to world modeling or synthetic data generation for robot learning.
- 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.
- Competitive stock options/equity programs.
- Health, dental, and vision insurance, 401(k) plan.
- Visa sponsorship and green card support for qualified candidates.
- Lunches and dinners, a fully stocked kitchen, and regular team-building events.
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