CoRL (Conference on Robotic Learning) Event 2026

We are seeking research scientists and engineers with a strong background in machine learning and robotics to drive breakthrough innovations in intelligent 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 and publishing in top-tier scientific venues.

Opportunities may be available in but not limited to the following areas:nnMachine Learning EngineerRobotics: n- Designing and implementing AI/ML systems to solve real-world problemsn- Evaluating and debugging complex AI systemsn- Integrating intricate AI systems into a larger nnRobotics Software Engineer: n- Designing and implementing APIsn- Designing and implementing tools such as visualizations logging and evaluation systemsn- Evaluating and debugging a complex AI systemsn- Integrating complex AI systems into a larger software stacknnPerception Algorithms Engineer:n- Designing and implementing a robust real-time multi-object tracking system to solve real-world computer vision problemsn- Leveraging multimodal estimates (vision audio etc.) to ensure robust high-fidelity estimation across complex and challenging environmentsn- Developing rigorous evaluation frameworks curating datasets and defining metrics to benchmark model performance analyze edge cases and continuously improve perception pipelinesn- Integrating perception systems into a larger software stack with real-world performance constraintsnnResearch Scientist/EngineerRobotics:n- Implement and train state-of-the-art ML models for perception and controln- Optimize and deploy ML models on physical systemsn- Work with various sensor modalitiesn- Troubleshoot complex problems across the complete stack from high-level software to low-level hardware issues software stacknnTactile AI Research EngineerRobotics: n- Implement and train state-of-the-art machine learning models for tactile-enabled robotic systems.n- Optimize and deploy machine learning models on physical systems ensuring policing durability across sim-to-real-gaps.n- Curate and generate training data from simulation and real-world demonstrations ensuring adequate coverage of complex contact physics.n- Collaborate across disciplines leverage expertise and advance impact across multiple Simulation Research EngineerRobotics: n- Develop and maintain novel simulation architectures for tactile and robotic systems.n- Optimize fidelity and performance of simulations with complex dynamics.n- Calibrate and validate simulation models against empirical or experimental data.n- Collaborate across disciplines leverage expertise and advance impact across multiple stakeholders.

Bachelors Masters or PhD in Computer Science Controls Electrical Engineering Mechanical Engineering Mechatronics Robotics or a related proficiency in Python and C with experience in complex multi-language experience developing dynamic physically-accurate successfully deploying in robotics.

Strong software engineering skills delivering clean well-tested and optimized problem-solving skills and ability to iterate quickly based on user feedback and technical foundation in robot kinematics dynamics motion planning and of tactile sensing and haptics technologies to solve challenges in interaction and manipulation.