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Senior AI Research Scientist - Vision-guided robotics(m/w/x)
Developing deep learning architectures for visual perception and sensorimotor control, enabling precise manipulation of complex objects. PhD in CS/Robotics and 3 years applied research experience essential. Hands-on optimization of research prototypes for robotic hardware.
Requirements
- PhD in Computer Science, Robotics, or related field
- 3 years of experience in applied research
- Proficiency in programming with Python and C++
- Experience with deep learning frameworks
- Experience developing algorithms for vision-based manipulation
- Publication record in top-tier robotics or AI conferences
- Experience with reinforcement learning or imitation learning
- Familiarity with physics simulators
- Experience integrating tactile sensors with visual perception systems
- Experience in Learning from Demonstrations
- Background in sim-to-real transfer techniques
- Experience with transformer-based architectures
- Experience deploying machine learning models on edge compute hardware
Tasks
- Research and develop deep learning architectures for visual perception and sensorimotor control
- Design algorithms for precise manipulation of complex or deformable objects
- Collaborate with software engineers to optimize research prototypes for robotic hardware
- Evaluate model performance in simulation and real-world environments
- Identify applications of advancements in computer vision and robot learning for industrial problems
- Mentor junior researchers and guide the manipulation research roadmap
Work Experience
- 3 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- Python
- C++
- PyTorch
- JAX
- TensorFlow
- MuJoCo
- Isaac Sim
- Gazebo
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Senior AI Research Scientist - Vision-guided robotics(m/w/x)
Developing deep learning architectures for visual perception and sensorimotor control, enabling precise manipulation of complex objects. PhD in CS/Robotics and 3 years applied research experience essential. Hands-on optimization of research prototypes for robotic hardware.
Requirements
- PhD in Computer Science, Robotics, or related field
- 3 years of experience in applied research
- Proficiency in programming with Python and C++
- Experience with deep learning frameworks
- Experience developing algorithms for vision-based manipulation
- Publication record in top-tier robotics or AI conferences
- Experience with reinforcement learning or imitation learning
- Familiarity with physics simulators
- Experience integrating tactile sensors with visual perception systems
- Experience in Learning from Demonstrations
- Background in sim-to-real transfer techniques
- Experience with transformer-based architectures
- Experience deploying machine learning models on edge compute hardware
Tasks
- Research and develop deep learning architectures for visual perception and sensorimotor control
- Design algorithms for precise manipulation of complex or deformable objects
- Collaborate with software engineers to optimize research prototypes for robotic hardware
- Evaluate model performance in simulation and real-world environments
- Identify applications of advancements in computer vision and robot learning for industrial problems
- Mentor junior researchers and guide the manipulation research roadmap
Work Experience
- 3 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- Python
- C++
- PyTorch
- JAX
- TensorFlow
- MuJoCo
- Isaac Sim
- Gazebo
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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