Machine Learning Researcher

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $150,400–$277,600 / yr
Posted: 44 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $227k

This role $214k

$133k most similar roles pay here $309k

This role pays less than 58% of similar roles. Most pay $199,575–$255,225 — the shaded band above. At the midpoint, this role pays about $214k versus about $227k 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 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · Machine Learning Researcher

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As an AIML - Machine Learning Researcher, MLR, you will join a team focused on ambitious, curiosity-driven research projects and foundational machine learning innovation. You will define and pursue a research agenda centered on fundamental problems such as efficient training algorithms and models with fast inference, specifically targeting multi-modal, multi-task, and reasoning capabilities. Your daily work involves rigorous experimentation, developing high-quality code, providing technical mentorship, and preparing publications for top-tier scientific venues like NeurIPS, ICML, or CVPR. To succeed in this role, you must possess a strong research background, expertise in linear algebra and statistics, and hands-on experience with Python and PyTorch. You will solve complex problems regarding model efficiency and reasoning while collaborating with engineers to advance the state of machine learning technology through reproducible research and high-quality open-source contributions.

Skills

Machine Learning Python PyTorch Deep Learning Linear Algebra Statistics Multi-modal Multi-task Reasoning open-source

What you'll do

Define and pursue a research agenda focused on fundamental problems in machine learning.
Develop efficient training algorithms and models with fast inference capabilities.
Research multi-modal, multi-task, and reasoning capabilities in machine learning.
Conduct rigorous experimentation to advance understanding of core machine learning areas.
Write high-quality code using Python and deep learning toolkits like PyTorch.
Provide technical mentorship to colleagues within the research team.
Prepare and submit research papers for publication in top-tier scientific venues.
Deliver technical presentations for both internal and external audiences.

What we're looking for

Demonstrated expertise in machine learning research.
A publication record in relevant conferences such as NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ECCV, ACL, or EMNLP.
Hands-on experience with Python and deep learning toolkits like PyTorch.
Strong mathematical skills in linear algebra and statistics.
A PhD or equivalent practical experience in Computer Science or a related technical field.
Ability to formulate research problems and design, experiment, implement, and communicate solutions.
High-quality open-source contributions to related projects.
Strong presentation skills for internal and external communications.