Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring curiosity, passion, and dedication to your job and there’s no telling what you could accomplish! Our Camera Incubation team is a multi-disciplinary team responsible for looking down the road and prototyping new experiences, architectures and technologies. We collaborate with design and product teams to bring new features across the Apple product line. Join us to explore together exciting new concept prototypes and see them realized in action!

DESCRIPTION

We are looking for a creative prototyping engineer with excellent practical knowledge in the area of autonomous systems, control and interaction, as well as machine learning tools and architectures. The successful candidate will have experience with - perception-based techniques for acquiring multimodal signals, - planning and decision-making systems for sense making and control, and - building of interactive prototypes using state-of-the-art AI technology insights acquired from experimental data The candidate needs to be able to clearly articulate what motivates a particular approach, and its pros and cons as well as risks.

MINIMUM QUALIFICATIONS

• M.S. or Ph.D. in Computer Science, Human-Robot-Interaction (HRI), Human-Computer Interaction, Cognitive Science or equivalent experience.
• 10+ years experience developing autonomous systems, control and perception models
• Experience with hardware/software rapid prototyping for HRI applications
• Experience in using state-of-the-art AI technologies

PREFERRED QUALIFICATIONS

• Experience in programming autonomous camera systems
• Hands-on experience working with simulators and real-world robots
• A passion for developing technologies for real-world, large scale impact
• Strong communication skills
• Experience in applying machine learning to robotics, including areas such as reinforcement, imitation, and transfer learning
• Experience in integrating multimodal sensing into planning and control
• An understanding of decision making modeling frameworks, such as Bayesian Belief Networks, state machines, gating networks, intelligence models, human-AI interaction
• Proficiency with ML modeling frameworks (PyTorch, Tensorflow, etc.) and ROS

Please refer the Job description for details