Special Projects - Research Scientist/Engineer (Robotics)
Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on May 27, 2026. Apple scores B on the Alion truth index.
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
We are a team of best-in-the-world research scientists and engineers with deep experience in computer vision, machine learning, robotics, computer graphics, and related areas. We work on exciting new technologies that bring joy to millions of people. In our daily work, the team stays innovative, productive, and fun by sharing some key values:
Passion for the mission: We’re here to make something extraordinary. We seek whatever work is right and strive for the best possible results.
Modesty: The right answer is more significant than being right. We search for solutions as a team and value clear-eyed feedback.
Lean habits: You can’t grow without limits. Time constraints and big goals encourage us to sharpen our focus and learn to make phenomenal decisions.
Minimum Qualifications
Bachelor's, Master's, or PhD in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or a related field.
Strong proficiency in Python and C++ with experience in complex, multi-language systems.
Expertise in ML algorithms and deep learning frameworks such as PyTorch and TensorFlow.
Experience with perception, control, and sensor fusion.
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.
Preferred Qualifications
Familiarity with reinforcement learning, planning algorithms, autonomous navigation, and full-body motion control
Hands-on experience with 3D CAD modeling (SolidWorks, Fusion 360) and fabrication (3D printing, CNC machining, etc.).
Knowledge of PCB design, embedded systems, and sensor integration