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Senior Research Scientist, Robotic Foundation Models(m/w/x)
Designing and implementing infrastructure for intelligent robotics. Offline Reinforcement or Imitation Learning experience in robotics context required. Leading infrastructure development for intelligent industrial robotics.
Requirements
- PhD in Computer Science or Engineering with specialization in Machine Learning or Robotics
- Experience collaborating on medium to large software projects for at least 4 years
- Experience in programming Python or C++ and machine learning frameworks
- Demonstrable experience with offline Reinforcement or Imitation Learning in robotics context
- Proven ability to work with a team, setting directions and driving towards solutions
- Academic track record of publications in offline Reinforcement or Imitation Learning in Robotics
- Experience with Robotic Foundation Models or Vision-Language-Action Models
- Experience with Online Reinforcement Learning or Computer Vision for Robotics
- Experience with deploying ML services at scale via cloud computing and containerization
Tasks
- Lead the design and implementation of robotic foundation model infrastructure
- Oversee training and deployment of robust ML models for robotics
- Provide accessible tools and infrastructure for ML researchers and engineers
- Collaborate with product and engineering teams to define infrastructure needs
Work Experience
- 4 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- Python
- C++
- Tensorflow
- JAX
- Google Cloud
- Docker
- Kubernetes
- SQL
- no-SQL
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Senior Research Scientist, Robotic Foundation Models(m/w/x)
Designing and implementing infrastructure for intelligent robotics. Offline Reinforcement or Imitation Learning experience in robotics context required. Leading infrastructure development for intelligent industrial robotics.
Requirements
- PhD in Computer Science or Engineering with specialization in Machine Learning or Robotics
- Experience collaborating on medium to large software projects for at least 4 years
- Experience in programming Python or C++ and machine learning frameworks
- Demonstrable experience with offline Reinforcement or Imitation Learning in robotics context
- Proven ability to work with a team, setting directions and driving towards solutions
- Academic track record of publications in offline Reinforcement or Imitation Learning in Robotics
- Experience with Robotic Foundation Models or Vision-Language-Action Models
- Experience with Online Reinforcement Learning or Computer Vision for Robotics
- Experience with deploying ML services at scale via cloud computing and containerization
Tasks
- Lead the design and implementation of robotic foundation model infrastructure
- Oversee training and deployment of robust ML models for robotics
- Provide accessible tools and infrastructure for ML researchers and engineers
- Collaborate with product and engineering teams to define infrastructure needs
Work Experience
- 4 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- Python
- C++
- Tensorflow
- JAX
- Google Cloud
- Docker
- Kubernetes
- SQL
- no-SQL
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Intrinsic
Industry
IT
Description
The company aims to reimagine the potential of industrial robotics, making it intelligent and accessible for businesses and developers.
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