Computer Vision & Machine Learning Engineer

Apple Inc

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Quick summary

Work type: On-site
Location: Sunnyvale, CA
Salary: $150,400–$277,600 / yr
Posted: 137 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Competitive pay

How this pay compares to similar roles

Similar $217k

This role $214k

$135k $293k

below market most similar roles pay here above market

This role pays more than 53% of similar roles. Most pay $187,850–$246,212 — the blue band above. At the midpoint, this role pays about $214k versus about $217k for comparable roles.

Based on 240 similar postings.

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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.

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At a glance

TL;DR · Computer Vision & Machine Learning Engineer

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JOB TITLE: Computer Vision & Machine Learning Engineer The Computer Vision & Machine Learning Engineer joins the VCV organization, a centralized applied research and engineering team developing real-time on-device technologies. You will design, build, and ship core perception technologies, motion synthesis systems, and human understanding algorithms for various products. Day-to-day responsibilities include developing algorithms for pose estimation, gesture recognition, facial analysis, behavioral modeling, and biometric recognition. You will also create real-time 3D perception and tracking systems for spatial computing and AR/VR applications. The role requires proficiency in Python and deep learning frameworks like PyTorch or JAX. Candidates must possess strong mathematical foundations and experience with foundation model architectures, multimodal systems, and large-scale distributed training to solve complex problems in human-computer interaction and realistic human motion generation.

Skills

Computer Vision Machine Learning Deep Learning Python PyTorch JAX Foundation Models Multimodal Systems 3D Perception Pose Estimation Gesture Recognition Facial Analysis Distributed Training Model Parallelism AR/VR Motion Synthesis

What you'll do

Develop and optimize deep learning algorithms for pose estimation, gesture recognition, and facial analysis.
Build motion synthesis systems for realistic human motion generation and animation.
Design and implement biometric algorithms for secure authentication and identification systems.
Create real-time 3D perception and tracking systems for spatial computing and AR/VR applications.
Train, fine-tune, and deploy foundation models for autonomous or semi-autonomous agents.
Perform rapid prototyping, reproduction, and validation of new research ideas.
Develop performance-critical real-time systems for natural human-computer interaction.

What we're looking for

Master's degree or equivalent practical experience in Computer Science, Computer Vision, Machine Learning, or a related technical field.
Experience in deep learning with demonstrated work in at least one area of multimodal systems.
Proficiency in Python and a modern deep learning framework such as PyTorch or JAX.
Experience with rapid prototyping, reproduction, and validation of research ideas.
Strong mathematical foundations in machine learning, computer vision, or related fields.
Experience with foundation model architectures and training methodologies.
Experience working effectively in a multi-functional, collaborative environment.
PhD or publication record in relevant conferences (preferred).