Opens an external site
- Employment type
- Contract
- Experience level
- Mid-level · 2+ years
- Minimum education
- Master’s degree
- Posting language
- English
- Working hours
- 40 hours per week
Job summary
The researcher will develop state-of-the-art approaches for Physical AI and Embodied AI by bridging research with production-ready code. They will design and execute experiments on robotic platforms while collaborating with cross-functional teams to integrate models into real-world applications.
Job details
The researcher will develop state-of-the-art approaches for Physical AI and Embodied AI by bridging research with production-ready code. They will design and execute experiments on robotic platforms while collaborating with cross-functional teams to integrate models into real-world applications. Candidates must hold a PhD in Computer Science, Robotics, or a related field, with a proven track record of first-author publications in top-tier AI venues. Proficiency in Python and experience with deep learning frameworks and robotics systems are essential for this role.
What you’ll do
The researcher will develop state-of-the-art approaches for Physical AI and Embodied AI by bridging research with production-ready code. They will design and execute experiments on robotic platforms while collaborating with cross-functional teams to integrate models into real-world applications.
Requirements
Candidates must hold a PhD in Computer Science, Robotics, or a related field, with a proven track record of first-author publications in top-tier AI venues. Proficiency in Python and experience with deep learning frameworks and robotics systems are essential for this role.
Listed skills
- Python · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Physical AI
- Embodied AI
- Spatial AI
- Robotic Foundation Models
- World Models
- Multimodal Representation Learning
- Reinforcement Learning
- Imitation Learning
- Python
- PyTorch
- TensorFlow
- ROS
- Generative AI
- Sequence Modeling
- Computer Vision
- Control Theory
Job areas
- Technology
- Science & Research
- Engineering
- Software
- Data & Analytics
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