Tactile AI Research Engineer Special Projects (Robotics)

We are seeking research scientists and engineers with strong backgrounds across mechatronics controls haptics robotics simulation and machine learning to drive breakthrough innovations in intelligent robotic systems. This position requires a hands-on approach integrating software and hardware solutions to push the boundaries of perception control and intelligence. You will work alongside world-class researchers and engineers contributing to technologies that power the Apple ecosystem.

We are a team of best-in-the-world research scientists and engineers with deep experience in computer vision machine learning robotics haptics and related areas. We work on exciting new technologies that bring joy to millions of our daily work the team stays innovative productive and fun by sharing some key values: nnPassion for the mission: Were here to make something extraordinary. We seek whatever work is right and strive for the best possible results. nModesty: The right answer is more significant than being right. We search for solutions as a team and value clear-eyed feedback. nLean habits: You cant grow without limits. Time constraints and big goals encourage us to sharpen our focus and learn to make phenomenal decisions.

Implement and train state-of-the-art machine learning models for tactile-enabled robotic and deploy machine learning models on physical systems ensuring policing durability across and generate training data from simulation and real-world demonstrations ensuring adequate coverage of complex contact evaluation metrics and testing protocols to benchmark policy across disciplines leverage expertise and advance impact across multiple research findings methodologies and technical developments for internal knowledge sharing and external publications.

3 years of relevant experience successfully deploying tactile-based policies in robotics.n6 years of relevant experience in robotics and machine proficiency in Python and C with experience in complex multi-language in machine learning algorithms and deep learning frameworks such as PyTorch and software engineering skills delivering clean well-tested and optimized analytical troubleshooting and problem-solving to work effectively in multidisciplinary Masters or PhD degree in Engineering Robotics Computer Science or a related field.

Functional understanding of tactile sensing and haptics technologies to solve challenges in interaction and foundation in robot kinematics dynamics motion planning and with a wide range of physics simulation software and their contact mechanics (e.g. Mujoco IssacLab simulator Drake etc.).nSuccessful record of employing machine learning techniques to achieve useful system performance.