Intern: Software Engineer, AI-enabled Robotic and Dexterous Manipulation Research
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Intern: Software Engineer, AI-enabled Robotic and Dexterous Manipulation Research
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PytorchKinematicsReinforcement LearningSim-to-Real Transfer LearningDynamicsVision-Language-Action ModelsJaxRoboticsFoundation Models for RoboticsPythonMachine LearningImitation LearningRobot Motion Control
Intrinsic is an AI robotics group at Google aiming to reimagine the potential of industrial robotics. Our team believes that advances in AI, perception and simulation will redefine what’s possible for industrial robotics in the near future – with software and data at the core.
Our mission is to make industrial robotics intelligent, accessible, and usable for millions more businesses, entrepreneurs, and developers. We are a dynamic team of engineers, roboticists, designers, and technologists who are passionate about unlocking the creative and economic potential of industrial robotics.
Role
As an Intern in AI-enabled Robotic Manipulation Research you will experiment with novel robotics capabilities that have an impact on real-world applications in manufacturing. You will work alongside a team of researchers and engineers developing features and conducting experiments for machine learning approaches to robot manipulation.
You bring in thorough knowledge in robot learning, excitement for getting robot hardware and experiments to run, and solid coding skills.
How your work moves the mission forward
If you have a disability or special need that requires accommodation, please contact us at: [email protected].
Our mission is to make industrial robotics intelligent, accessible, and usable for millions more businesses, entrepreneurs, and developers. We are a dynamic team of engineers, roboticists, designers, and technologists who are passionate about unlocking the creative and economic potential of industrial robotics.
Role
As an Intern in AI-enabled Robotic Manipulation Research you will experiment with novel robotics capabilities that have an impact on real-world applications in manufacturing. You will work alongside a team of researchers and engineers developing features and conducting experiments for machine learning approaches to robot manipulation.
You bring in thorough knowledge in robot learning, excitement for getting robot hardware and experiments to run, and solid coding skills.
How your work moves the mission forward
- Contribute to experiments for novel, AI-enabled and sensor-guided manipulation capabilities.
- Evaluate new, prototypical approaches on manipulation scenarios for industrial manufacturing.
- Extend existing manipulation capabilities in our stack and improve features related to learning and robot control.
- Collaborate with researchers and colleagues across three continents to bring solutions to the real world.
- PhD student in Computer Science, Robotics or related field, or master's student with robotics lab experience.
- Programming experience in Python (ideally Jax or Pytorch skills).
- Knowledge and first experience in machine learning for robotics in one or more areas like reinforcement learning, vision-language-action models, sim-to-real transfer learning, imitation learning and/or foundation models for robotics.
- Enthusiasm for experimenting with robot hardware, ideally prior experience.
- Basic knowledge of robot motion control, kinematics, dynamics.
- Ideally, experience in controlling robot motion and/or applying learned models to motion.
If you have a disability or special need that requires accommodation, please contact us at: [email protected].