Senior / Staff AI Research Scientist, Foundation Models

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<p><strong>Why RoboForce</strong></p>
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<div class="ace-line ace-line old-record-id-R8SQdhthJo8kHKxiTfzljrYOgug">RoboForce is an AI robotics company developing Physical AI–powered Robo-Labor for dull, dirty, and dangerous work. The company's robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability.</div>
<div class="ace-line ace-line old-record-id-HNSvdUOCronqIhx38lrlCCUzgxe">&nbsp;</div>
<div class="ace-line ace-line old-record-id-HNSvdUOCronqIhx38lrlCCUzgxe">We are looking for a&nbsp;<strong>Senior / Staff AI Research Scientist, Foundation Models</strong> to advance robotic embodied intelligence. In this role, you will develop algorithms that enable robots to understand their environment, interpret and execute tasks, and communicate seamlessly with humans — with a particular focus on building and training world models that allow robots to predict, plan, and generalize across complex physical tasks.</div>
<div class="ace-line ace-line old-record-id-EMPGdgIb7ozycZx2LjplUgyzgLd">&nbsp;</div>
<div class="ace-line ace-line old-record-id-EMPGdgIb7ozycZx2LjplUgyzgLd"><strong>Responsibilities</strong></div>
<ul class="list-bullet1">
<li class="ace-line ace-line old-record-id-DdoldLs7nokDKax67mdltzRAgEG" data-list="bullet">
<div>Design and deploy vision-language(-action) models (VLM/VLA) for contextual understanding and generalized robot action policies.</div>
</li>
<li class="ace-line ace-line old-record-id-ORUkdW5NwoV4nmx5FudlI1xegcb" data-list="bullet">
<div>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.</div>
</li>
<li class="ace-line ace-line old-record-id-X1bSdEL9voOPmxxTAERlH5hFg6b" data-list="bullet">
<div>Research approaches to improve world model fidelity using multi-modal inputs including vision, language, proprioception, and spatial representations.</div>
</li>
<li class="ace-line ace-line old-record-id-U3xYdI7cPoZY2MxN5BklrMXpg4b" data-list="bullet">
<div>Develop foundation models with spatial reasoning capabilities to achieve high-precision robotic actions.</div>
</li>
<li class="ace-line ace-line old-record-id-C6JVdLkFpopx9hx0bHul0nZagwe" data-list="bullet">
<div>Integrate multi-modal data sources (vision, language, speech, etc.) to enable natural human-robot communication.</div>
</li>
<li class="ace-line ace-line old-record-id-ZsFbde1a2od1YIxzSSalR1Aag1c" data-list="bullet">
<div>Optimize and deploy models as production-grade solutions on RoboForce robotic platforms.</div>
</li>
</ul>
<div class="ace-line ace-line old-record-id-FVBddqRMwozp1zxnEzJlkwcgg1g"><strong>Requirements</strong></div>
<ul class="list-bullet1">
<li class="ace-line ace-line old-record-id-EUsZdxNcjoY8w7x5sEGlO0WagHg" data-list="bullet">
<div>PhD degree in Machine Learning, Robotics, or related field, or Master's degree with 4+ years of relevant experience.</div>
</li>
<li class="ace-line ace-line old-record-id-UvuLdVRhAoPVLHxj0jjlIhJUg5g" data-list="bullet">
<div>Proficiency in Python and deep learning frameworks (e.g., PyTorch, JAX).</div>
</li>
<li class="ace-line ace-line old-record-id-CtEWdG8QioP0p0xqvJ3lcX5Rghc" data-list="bullet">
<div>Expertise in large foundation models (VLM, VLA, etc.).</div>
</li>
<li class="ace-line ace-line old-record-id-NPoXd5xJooqzphxQXKJloc2agrf" data-list="bullet">
<div>Strong understanding of world model architectures and action-conditioned generative modeling for robot learning.</div>
</li>
<li class="ace-line ace-line old-record-id-O2FodqqTOo6GAZxOVWdlkPFJgDc" data-list="bullet">
<div>Decent understanding of multimodal models, modern ML architectures (transformers, diffusion models, etc.).</div>
</li>
<li class="ace-line ace-line old-record-id-VWmudIrLVol5sqx2QxIl2BVLgrd" data-list="bullet">
<div><strong>Requires 5 days/week in-office collaboration with the teams.</strong></div>
</li>
</ul>
<div class="ace-line ace-line old-record-id-GEced09Czoam2rx8frblfRK5gub"><strong>Bonus Qualifications</strong></div>
<ul class="list-bullet1">
<li class="ace-line ace-line old-record-id-CgoZdtIHDowC4GxAMB2lKUy1gzf" data-list="bullet">
<div>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.</div>
</li>
<li class="ace-line ace-line old-record-id-Tzund9D7kouXY3xKiO5lyaLzgxb" data-list="bullet">
<div>Strong publication record at top conferences (NeurIPS, ICML, CVPR, ICCV, CoRL, ICRA, or equivalent).</div>
</li>
<li class="ace-line ace-line old-record-id-AGEYdJW4BoKb27xGmvNlxML7ghd" data-list="bullet">
<div>Expertise in neural network deployment (e.g., TensorRT) and GPU programming with CUDA.</div>
</li>
<li class="ace-line ace-line old-record-id-FEmDd97hEovljsxyNLZlSRpCgZb" data-list="bullet">
<div>Proven ability to design scalable experimentation and data pipelines.</div>
</li>
</ul>
<div class="ace-line ace-line old-record-id-CITLdAgluoINaPx3b2VlRMmcgzb"><strong>Benefits</strong></div>
<ul class="list-bullet1">
<li class="ace-line ace-line old-record-id-BkMcdCR0BofIeqxSs64lLOIogNc" data-list="bullet">
<div>Competitive stock options/equity programs.</div>
</li>
<li class="ace-line ace-line old-record-id-DZ9ld5hC7oygXFxrndRl1WuCgiN" data-list="bullet">
<div>Health, dental, and vision insurance, 401(k) plan.</div>
</li>
<li class="ace-line ace-line old-record-id-B4p0dfWs4on9m3xlDO3lnSBcgFf" data-list="bullet">
<div>Visa sponsorship and green card support for qualified candidates.</div>
</li>
<li class="ace-line ace-line old-record-id-YZDmdTK5Zod7byxThk1lOmVQgZf" data-list="bullet">
<div>Lunches and dinners, a fully stocked kitchen, and regular team-building events.</div>
</li>
</ul>
<p>&nbsp;</p>
<div class="rich-text-paragraph" data-eleid="2"><span class="text-only" data-eleid="3">Compensation: Salary $200,000–$360,000 USD </span><span class="text-only" data-eleid="3">+ Bonus + Equity</span>
<div class="rich-text-paragraph" data-eleid="4">&nbsp;</div>
<div class="rich-text-paragraph" data-eleid="5"><span class="text-only" data-eleid="6">The base salary range above represents the expected compensation for this full-time U.S. position. Final compensation will be determined based on role scope, level, location, job-related skills, experience, and relevant education or training, and may fall outside the listed range in exceptional cases.&nbsp;</span></div>
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⚑ 岗位信息收录自公开招聘页（ATS 官方），以雇主官网为准