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:

Machine Learning Engineer, Robotics

• Designing and implementing AI/ML systems to solve real-world problems
• Evaluating and debugging complex AI systems
• Integrating intricate AI systems into a larger

Robotics Software Engineer

• Designing and implementing APIs
• Designing and implementing tools such as visualizations, logging, and evaluation systems
• Evaluating and debugging a complex AI systems
• Integrating complex AI systems into a larger software stack

Perception Algorithms Engineer

• Designing and implementing a robust, real-time multi-object tracking system to solve real-world computer vision problems
• Leveraging multimodal estimates (vision, audio, etc.) to ensure robust, high-fidelity estimation across complex and challenging environments
• Developing rigorous evaluation frameworks, curating datasets, and defining metrics to benchmark model performance, analyze edge cases, and continuously improve perception pipelines
• Integrating perception systems into a larger software stack with real-world performance constraints

Research Scientist/Engineer, Robotics

• Implement and train state-of-the-art ML models for perception and control
• Optimize and deploy ML models on physical systems
• Work with various sensor modalities
• Troubleshoot complex problems across the complete stack from high-level software to low-level hardware issues software stack

Tactile AI Research Engineer, Robotics

• Implement and train state-of-the-art machine learning models for tactile-enabled robotic systems.
• Optimize and deploy machine learning models on physical systems, ensuring policing durability across sim-to-real-gaps.
• Curate and generate training data from simulation and real-world demonstrations ensuring adequate coverage of complex contact physics.
• Collaborate across disciplines leverage expertise and advance impact across multiple stakeholders.

Tactile Simulation Research Engineer, Robotics

• Develop and maintain novel simulation architectures for tactile and robotic systems.
• Optimize fidelity and performance of simulations with complex dynamics.
• Calibrate and validate simulation models against empirical or experimental data.
• Collaborate across disciplines leverage expertise and advance impact across multiple stakeholders.

• Bachelor's, Master's, or PhD in Computer Science, Controls, Electrical Engineering, Mechanical Engineering, Mechatronics, Robotics, or a related field.
• Strong proficiency in Python and C++ with experience in complex, multi-language systems.
• Relevant experience developing dynamic physically-accurate simulations.
• Experience successfully deploying in robotics.
• Strong software engineering skills, delivering clean, well-tested, and optimized code.
• Strong problem-solving skills and ability to iterate quickly based on user feedback and technical constraints.
• Strong foundation in robot kinematics, dynamics, motion planning, and control.
• Understanding of tactile sensing and haptics technologies to solve challenges in interaction and manipulation.