below marketmost similar roles pay hereabove market
This role pays more than
83%
of similar roles. Most pay
$202,800–$254,750
— the blue band above.
At the midpoint, this role pays about
$255k
versus about
$229k
for comparable roles.
Based on 240 similar postings.
Employer
About Apple Inc
Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software
Apple Inc currently has
3497 open roles
on FindRole.
Listed pay typically runs
$174,149–$277,600
across 2702 roles with salary data.
As a Machine Learning Engineer, Video Engineering, you will join the Video Engineering group to develop breakthrough models powering spatial media features like 3D photos, immersive video, and scene reconstruction. You will research and develop state-of-the-art models for 3D content creation, spatial video processing, and scene understanding, moving ideas from research to production. Your daily work involves designing and training large-scale generative models on ML infrastructure, running experiments to improve quality, and optimizing models for on-device deployment. You must possess expert proficiency in Python and PyTorch, with experience in diffusion models, 3D computer vision, and 3D computer graphics. Key technical skills include depth estimation, multi-view geometry, 3D reconstruction, and C++ for performance-critical components, all aimed at solving complex 3D visual challenges for consumer products.
What does a Machine Learning Engineer earn in California?
Median $235750 from 200 postings across 34 companies.
Research and develop state-of-the-art ML models for 3D content creation and spatial video processing.
Design and train large-scale generative models on Apple's ML infrastructure.
Run rigorous experiments to improve the quality of 3D visual models.
Optimize machine learning models for efficient on-device deployment.
Develop technologies for 3D photos, immersive video, and scene reconstruction.
Implement 3D computer vision techniques like depth estimation and novel view synthesis.
Translate research-level machine learning ideas into production-ready features for consumer products.
What we're looking for
Bachelor's degree in Computer Science, Electrical/Computer Engineering, or a related field.
10+ 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 and prototyping.