Senior Computer Vision Machine Learning Engineer 3D Vision & Perception

Apple is where individual imaginations gather together committing to the values that lead to great work. Every new product we build or service we create is the result of us making each others ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world changing lives for the better. Its the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in we can do the best work of our lives. Here youll do more than join something youll add something!nnWe are a team of computer vision and machine learning (CVML) engineers building real-time 3D perception and input systems for future Apple products. We are looking for a strong CVML engineer with both 3D geometry and ML background optimally with experience in 3D rigid/non-rigid object tracking sensor fusion or SLAM/ this role you will help design build and ship core 3D perception and input technologies used by millions of users.

You will work closely with CVML researchers and engineers to develop world-class perception spatial input and 3D tracking algorithms and software. The role focuses on inventing and implementing state of the art CVML algorithms to solve cutting edge problems. As a member of a fast-paced team you have the unique and rewarding opportunity to shape upcoming products that will delight and inspire millions of people every day.

Invent and implement state-of-the-art CV/ML algorithms for perception and 3D trackingnDesign robust efficient solutions optimized for mobile and on-device hardwarenCollaborate across software hardware and systems teams to ensure efficient end-to-end pipelines and effective use of Apple siliconnIterate quickly based on data feedback and system constraintsnContribute to technical direction and roadmaps for next-generation perception and AI capabilitiesnTranslate research ideas into production-quality systems and integrations

Bachelors degree with 5 years of relevant industry experiencenStrong foundation in computer vision in one or multiple of these areas including 3D rigid/non-rigid object tracking multi-view geometry and visual-inertial odometry (VIO)nProficiency in Python and deep learning frameworks such as PyTorch

PhD in computer vision machine learning robotics or related fieldsnExperience across both classical 3D computer vision and deep learningnFamiliarity with visual-inertial or multi-sensor fusionnStrong C and systems engineering skills with experience delivering robust efficient algorithmsnSelf-motivated with a proven record of prioritization and on-time delivery