AIML - Machine Learning Researcher, MLR

Apple Inc

Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $147,400–$272,100 / yr
Posted: 56 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $213k

This role $210k

$132k most similar roles pay here $287k

This role pays less than 52% of similar roles. Most pay $175,750–$249,750 — the shaded band above. At the midpoint, this role pays about $210k versus about $213k 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 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 roles with salary data.

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At a glance

TL;DR · AIML - Machine Learning Researcher, MLR

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Join our dynamic team as a mid-level or senior Machine Learning Researcher where you will contribute to groundbreaking long-term projects that shape the future of Apple’s products. Your daily tasks include proposing innovative research plans, conducting foundational ML studies, and collaborating with top-tier engineers and researchers to implement and experiment with your ideas using deep learning frameworks like TensorFlow or PyTorch. You’ll also mentor colleagues, write technical reports for publication in high-impact venues such as NeurIPS and ICML, and present findings at conferences. This role demands a robust background in machine learning research, strong mathematical skills, and the ability to work effectively in a diverse team environment.

Skills

Python PyTorch Tensorflow NeurIPS ICML ICLR AAAI CVPR ICCV ECCV ACL EMNLP linear_algebra statistics

What you'll do

Propose and execute innovative machine learning research projects.
Publish high-quality research results in top-tier scientific venues.
Develop and validate reproducible machine learning models and techniques.
Mentor colleagues on technical aspects of machine learning research.
Collaborate with cross-functional teams to integrate research into products.
Stay updated with the latest advancements in machine learning technology.

What we're looking for

Demonstrated expertise in machine learning research with significant publication record.
Experience publishing in top-tier conferences like NeurIPS, ICML, ICLR, CVPR.
Proficiency in deep learning toolkits such as TensorFlow or PyTorch.
Strong background in linear algebra and statistics for advanced modeling.
Ability to formulate research problems, design experiments, and communicate results.

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