CoRL (Conference on Robotic Learning) Event 2026

Summary

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.

Description

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.

Minimum Qualifications

• 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.

Preferred Qualifications

• 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.