Senior / Staff AI Research Scientist, Foundation Models
RoboForceMilpitas, California, United States · Posted 9 months agoDescription
Why RoboForce
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Design and deploy vision-language(-action) models (VLM/VLA) for contextual understanding and generalized robot action policies.
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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.
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Research approaches to improve world model fidelity using multi-modal inputs including vision, language, proprioception, and spatial representations.
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Develop foundation models with spatial reasoning capabilities to achieve high-precision robotic actions.
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Integrate multi-modal data sources (vision, language, speech, etc.) to enable natural human-robot communication.
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Optimize and deploy models as production-grade solutions on RoboForce robotic platforms.
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PhD degree in Machine Learning, Robotics, or related field, or Master's degree with 4+ years of relevant experience.
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Proficiency in Python and deep learning frameworks (e.g., PyTorch, JAX).
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Expertise in large foundation models (VLM, VLA, etc.).
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Strong understanding of world model architectures and action-conditioned generative modeling for robot learning.
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Decent understanding of multimodal models, modern ML architectures (transformers, diffusion models, etc.).
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Requires 5 days/week in-office collaboration with the teams.
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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.
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Strong publication record at top conferences (NeurIPS, ICML, CVPR, ICCV, CoRL, ICRA, or equivalent).
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Expertise in neural network deployment (e.g., TensorRT) and GPU programming with CUDA.
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Proven ability to design scalable experimentation and data pipelines.
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Competitive stock options/equity programs.
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Health, dental, and vision insurance, 401(k) plan.
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Visa sponsorship and green card support for qualified candidates.
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Lunches and dinners, a fully stocked kitchen, and regular team-building events.
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