Computer Vision/Deep Learning Engineer

Apple Inc

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Quick summary

Work type: On-site
Location: Sunnyvale, CA
Salary: $129,300–$225,300 / yr
Posted: 5 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $215k

This role $177k

$113k $281k

below market most similar roles pay here above market

This role pays less than 78% of similar roles. Most pay $188,562–$241,750 — the blue band above. At the midpoint, this role pays about $177k versus about $215k 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.

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At a glance

TL;DR · Computer Vision/Deep Learning Engineer

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The Computer Vision/Deep Learning Engineer joins the Video Computer Vision organization to develop technologies for next-generation products. This role involves innovating and delivering effective, efficient, and well-tested computer vision based solutions from prototyping to shipping, specifically for deployment on edge devices. The engineer will work on building higher level reasoning algorithms and pushing the limits of biometric machine learning algorithms using both real-world and simulated data. Key responsibilities include developing solutions for people understanding from real-time video streams. Required technical skills include proficiency in Python programming and experience with ML frameworks like TensorFlow and PyTorch. Preferred expertise includes object detection, vision transformers, multimodal networks, biometrics, face tracking, gaze tracking, and classical image processing. The work focuses on solving complex problems within the biometric and video computer vision domains.

Skills

Computer Vision Deep Learning Python PyTorch TensorFlow Object Detection Vision Transformers Multimodal Networks Biometrics Face Tracking Gaze Tracking Classical Image Processing

What you'll do

Develop new computer vision technologies for next-generation Apple products.
Build and ship effective, efficient, and well-tested computer vision solutions.
Prototype and deploy machine learning models on edge devices.
Develop high-level reasoning algorithms for real-time video streams.
Push the limits of biometric ML algorithms using real-world and simulated data.
Implement object detection, vision transformers, and multimodal networks.
Research and develop state-of-the-art experiences for Apple Vision Pro, iPhone, and iPad.

What we're looking for

Background in machine learning and deep learning.
Proficiency in Python programming.
Experience using ML frameworks such as TensorFlow and PyTorch.
BS degree and a minimum of 3 years of industry experience.
Experience in object detection, vision transformers, and multimodal networks (preferred).
Experience in biometrics, face tracking, gaze tracking, classical image processing, or computer vision (preferred).
MS or PhD in a related field (preferred).
Familiarity with cloud technologies (preferred).