Machine Learning Engineer, Video Engineering

Help define the next generation of photo and video experiences at Apple. The Video Engineering group develops key image and video technologies that contribute to experiences across many Apple products and services. As a Machine Learning Engineer youll be developing breakthrough ML models that power spatial media features including 3D photos immersive video and scene reconstruction reaching hundreds of millions of users. As a member of a fast-paced team you will have the unique and exciting opportunity to shape upcoming products at the frontier of generative AI computer vision and 3D understanding with a strong emphasis on taking ideas from research to production.

This role requires an independent self-motivated and creative engineer with deep expertise in machine learning coupled with a strong understanding of 3D computer vision and computer graphics. Your primary focus will be applying cutting-edge machine learning techniques to complex 3D visual challenges to create customer impact across current and future Apple products.

Work both independently and collaboratively with team members to research and develop state-of-the-art ML models for 3D content creation spatial video processing and scene understanding presenting and demonstrating your work to cross-functional teams and leadership and train large-scale generative models on Apples ML infrastructure run rigorous experiments to improve quality and optimize models for on-device deployment. Examples of past team work include Spatial Scenes immersive 3D experiences generated from photos and videos using ML-powered depth and view synthesis.

Bachelors degree in Computer Science Electrical/Computer Engineering or a related field.n10 years of experience developing and shipping machine learning models with a focus on computer vision or generative -level proficiency in Python and PyTorch or equivalent ML experience with diffusion models for image synthesis video generation 3D generation or related understanding of 3D computer vision including depth estimation multi-view geometry 3D reconstruction novel view synthesis or neural scene knowledge of 3D computer graphics concepts such as rendering camera models scene representations and coordinate knowledge of C for performance-critical to leverage AI coding assistants and LLM-based tools to accelerate development prototyping and problem-solving workflows.

MS or PhD in Computer Science Machine Learning Computer Vision or a related in top-tier ML or vision with video diffusion models 3D Gaussian Splatting neural radiance fields or differentiable with distributed training at with on-device ML record of shipping ML-powered features in consumer written and oral interpersonal skills.