Machine Learning Engineer, Creative Intelligence Systems

Apple is where individual imaginations gather together committing to the values that lead to great work. Every new product we build service we create or Apple Store experience we deliver 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 are looking for a junior machine learning engineer to join Creative Intelligence Systems the team behind iPhones Cinematic mode Background Replacement Portrait and Studio Light video effects along with many other computational photography and video features used on hundreds of millions of Apple devices. You will help transform how people connect with their loved ones on FaceTime prototype new Camera capture experiences and invent new ways to edit photos and videos. Our team is made up of seasoned camera systems rendering machine learning and computer vision engineers. We do it all: we research we prototype we integrate we ship. Our work is often featured in Apple keynotes and at WWDC.n

In this role you will push the boundaries of whats possible on device under tight compute and memory constraints. You will tackle problems such as 3D scene reconstruction and novel view synthesis generative image and video editing camera pose estimation person segmentation monocular depth estimation shallow depth of field rendering and subject ideal candidate is focused on product and experience takes ownership of ambiguous problems and has a strong foundation in machine learning and graphics. You survey the state of the art before committing to a direction build working prototypes quickly and reach out to partner teams to close technical gaps.n

Track state-of-the-art computer vision graphics and machine learning research both published and internal and turn findings into concrete project new communication capture and editing experiences end to end on iOS and fine-tune and evaluate machine learning models for image video and 3D research prototypes into polished robust power-efficient product features within tight production with internal teams to discover new capabilities and integrate them into our systems and workloads across CPU GPU Apple Neural Engine and Private Cloud Compute to meet strict thermal latency and memory progress trade-offs and results with the team and leadership through regular demos and presentations.n

BS in Computer Science Electrical Engineering or related programming skills in Python with working knowledge of C or -on experience with modern deep learning frameworks such as PyTorch or foundation in machine learning computer vision 3D graphics or related interest in keeping up with state-of-the-art interpersonal and communication skills.n

MS in Computer Science Machine Learning Computer Graphics or related with 3D reconstruction neural rendering such as Gaussian splatting or generative models for inpainting and with camera pose estimation SLAM or AR frameworks such as to GPU programming with Metal CUDA or with Swift or Objective-C on Apple with AI-assisted and agentic coding record of successful industry internships.