Machine Learning Engineer, Video Engineering at Apple

Sunnyvale, California, United States -

Full Time

Start Date

Immediate

Expiry Date

20 Aug, 26

Salary

0.0

Posted On

22 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Computer Vision, 3D Computer Graphics, Python, PyTorch, Diffusion Models, C++, 3D Reconstruction, Neural Scene Representations, Generative AI, Multi-view Geometry, Depth Estimation, 3D Gaussian Splatting, Neural Radiance Fields, Distributed Training, On-device ML Deployment

Industry

Computers and Electronics Manufacturing

Description

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, you'll 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. DESCRIPTION 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. MINIMUM QUALIFICATIONS Bachelor's degree in Computer Science, Electrical/Computer Engineering, or a related field. 3+ years of experience developing and shipping machine learning models, with a focus on computer vision or generative AI. Expert-level proficiency in Python and PyTorch or equivalent ML frameworks. Strong experience with diffusion models for image synthesis, video generation, 3D generation, or related domains. Solid understanding of 3D computer vision including depth estimation, multi-view geometry, 3D reconstruction, novel view synthesis, or neural scene representations. Working knowledge of 3D computer graphics concepts such as rendering, camera models, scene representations, and coordinate systems. Working knowledge of C++ for performance-critical components. Ability to leverage AI coding assistants and LLM-based tools to accelerate development, prototyping, and problem-solving workflows. PREFERRED QUALIFICATIONS MS or PhD in Computer Science, Machine Learning, Computer Vision, or a related field. Publications in top-tier ML or vision venues. Experience with video diffusion models, 3D Gaussian Splatting, neural radiance fields, or differentiable rendering. Experience with distributed training at scale. Familiarity with on-device ML deployment. Track record of shipping ML-powered features in consumer products. Good written and oral interpersonal skills.

Responsibilities

Develop breakthrough ML models for spatial media features including 3D photos, immersive video, and scene reconstruction. Transition cutting-edge research in generative AI and computer vision into production-ready features for Apple products.