Computer Vision / Machine Learning Engineer

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 other’s 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. It’s 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, you’ll do more than join something - you’ll add something!\n\nWe 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/VIO. In 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.

Bachelor’s degree with 5+ years of relevant industry experience\nStrong 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 fields\nExperience across both classical 3D computer vision and deep learning\nFamiliarity with visual-inertial or multi-sensor fusion\nStrong C++ and systems engineering skills, with experience delivering robust, efficient algorithms\nSelf-motivated with a proven record of prioritization and on-time delivery