Position Details
About this role
This role involves leading the development of advanced robot learning models, leveraging multimodal sensor data, and deploying autonomous systems in industrial robotics.
Key Responsibilities
- Develop robot learning models
- Design simulation environments
- Optimize deployment on real robots
- Handle multimodal sensor data
- Collaborate on system performance improvements
Technical Overview
The position requires expertise in ML/AI, PyTorch, simulation environments, and robotics frameworks like ROS/ROS2, with a focus on multimodal data processing and model optimization.
Ideal Candidate
The ideal candidate is a highly experienced ML engineer with 8+ years in robot learning, proficient in PyTorch and simulation tools, capable of developing multimodal models for dexterous robotics applications.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 8 years of experience in robot learning, Lack of proficiency in PyTorch, No experience with simulation environments or robotics frameworks
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