San Francisco Compute Company
United States
Head of Talent / Founding Recruiter
- AI
- ATS
- AWS
- Cloud
R
AI Summary
Develop AI-powered robotic embodied intelligence, design and deploy vision-language-action models, and integrate multi-modal data sources. Requires PhD in Machine Learning, Robotics, or related field. Proficiency in Python and deep learning frameworks.
Key Highlights
Develop AI-powered robotic embodied intelligence
Design and deploy vision-language-action models
Integrate multi-modal data sources
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Key Responsibilities
Design and deploy vision-language(-action) models (VLM/VLA) for contextual understanding and generalized robot action policies.
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.
Technical Skills Required
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Benefits & Perks
Competitive stock options/equity programs
Health, dental, and vision insurance
401(k) plan
Visa sponsorship and green card support
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Nice to Have
Strong publication in top conferences
Expertise in neural network deployment (e.g., TensorRT) and GPU programming with CUDA
Proven ability to design scalable experimentation and data pipelines
Job Description
Why RoboForce
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.
We are looking for a Senior/Staff ML Research Engineer, Embodied Intelligence 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.
Responsibilities
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