Machine Learning Research Engineer

Apple Inc

Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $147,400–$272,100 / yr
Posted: 4 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $217k

This role $210k

$132k most similar roles pay here $287k

This role pays less than 54% of similar roles. Most pay $183,733–$249,750 — the shaded band above. At the midpoint, this role pays about $210k versus about $217k 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 1817 open roles on FindRole.

Listed pay typically runs $163,300–$272,100 across 1482 roles with salary data.

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At a glance

TL;DR · Machine Learning Research Engineer

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As a Machine Learning Research Engineer at Apple, you will join a cutting-edge team dedicated to advancing the future of video technology. Your role involves researching and developing innovative machine learning algorithms that push the boundaries of computer vision and image/video generation, focusing on representation learning and compression techniques. Day-to-day responsibilities include inventing models, designing datasets, prototyping new architectures, and collaborating with cross-functional teams to optimize model efficiency for deployment across various hardware platforms. You will need strong analytical skills and experience in deep learning, with a proven track record of success evidenced by publications in top ML/CV venues. Proficiency in Python and familiarity with PyTorch or TensorFlow are essential, along with knowledge of deep learning principles and practical implementation skills such as custom CUDA operations and generative modeling techniques.

Skills

Python PyTorch TensorFlow CUDA DeepLearning ComputerVision GenerativeModeling OpticalFlow PerceptualQuality MLforVideoCompression DataCompression

What you'll do

Develop innovative ML models for image/video processing problems.
Design datasets and training pipelines to enhance model performance.
Prototype new architectures to improve the efficiency of ML models.
Study existing literature to inform research on cutting-edge techniques.
Work with cross-functional teams to meet quality and computational requirements.

What we're looking for

3+ years of hands-on ML research experience, including Ph.D. work
Strong publication record in top machine learning and computer vision venues
Expertise in deep learning principles and techniques
Proficiency in Python and familiarity with PyTorch or TensorFlow
Knowledge of the latest innovations in ML and CV, including GenAI modeling
Experience implementing custom operations in CUDA (preferred)
Background in designing practical ML implementations for industry applications (preferred)

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