Apple Intelligence is designed as a deeply integrated, privacy-preserving capability that ... You will collaborate closely with top machine learning researchers and engineers, software ...
Apple Intelligence is designed as a deeply integrated, privacy-preserving capability that ... You will collaborate closely with top machine learning researchers and engineers, software ...
AIML - Machine Learning Researcher, MLR
$150K - $277K/yr
... across Apple. Preferred Qualifications Ability to formulate a research problem and design ... machine learning research. Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR ...
AIML - Machine Learning Researcher, MLR
$150K - $277K/yr
... across Apple. Preferred Qualifications Ability to formulate a research problem and design ... machine learning research. Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR ...
Machine Learning Research Engineer
Livermore, CA · On-site
$146K - $222K/yr
We have an opening for Machine Learning Research experts to join our team and advance the discipline as well as apply cutting edge tools and techniques to some of society's most important problems.
Machine Learning Research Engineer
Livermore, CA · On-site
$146K - $222K/yr
We have an opening for Machine Learning Research experts to join our team and advance the discipline as well as apply cutting edge tools and techniques to some of society's most important problems.
Role Description This is a full-time on-site role for a Machine Learning Research Scientist located in the San Francisco Bay Area. * Work directly with the founder to develop autonomous research ...
Quick apply
Role Description This is a full-time on-site role for a Machine Learning Research Scientist located in the San Francisco Bay Area. * Work directly with the founder to develop autonomous research ...
On-Device ML Compiler Engineer, Model Compilation, Graphics, Games and Machine Learning
Cupertino, CA · On-site
The On-Device Machine Learning team transforms groundbreaking research into practical applications, enabling billions of Apple devices to run powerful AI models locally, privately, and efficiently.
On-Device ML Compiler Engineer, Model Compilation, Graphics, Games and Machine Learning
Cupertino, CA · On-site
The On-Device Machine Learning team transforms groundbreaking research into practical applications, enabling billions of Apple devices to run powerful AI models locally, privately, and efficiently.
Additionally, you will research and develop the state-of-the-art LLMs for summarizing personal data such as emails, messages, and notifications. You will also work with researchers and data ...
Additionally, you will research and develop the state-of-the-art LLMs for summarizing personal data such as emails, messages, and notifications. You will also work with researchers and data ...
Senior Machine Learning Engineer, Apple Search & Knowledge Platforms
Santa Clara, CA · On-site
$143K - $189K/yr
Additionally, you will research and develop the state-of-the-art LLMs for summarizing personal data such as emails, messages, and notifications. You will also work with researchers and data ...
Senior Machine Learning Engineer, Apple Search & Knowledge Platforms
Santa Clara, CA · On-site
$143K - $189K/yr
Additionally, you will research and develop the state-of-the-art LLMs for summarizing personal data such as emails, messages, and notifications. You will also work with researchers and data ...
As part of this group, you will be doing large scale machine learning and deep learning research ... Description In this role, you will work on LLM based question answering and Apple Intelligence ...
As part of this group, you will be doing large scale machine learning and deep learning research ... Description In this role, you will work on LLM based question answering and Apple Intelligence ...
On-Device ML Infrastructure Engineer (CoreML Runtime), Graphics, Games and Machine Learning
$184K - $324K/yr
The On-Device Machine Learning team transforms groundbreaking research into practical applications, enabling billions of Apple devices to run powerful AI models locally, privately, and efficiently.
On-Device ML Infrastructure Engineer (CoreML Runtime), Graphics, Games and Machine Learning
$184K - $324K/yr
The On-Device Machine Learning team transforms groundbreaking research into practical applications, enabling billions of Apple devices to run powerful AI models locally, privately, and efficiently.
Machine Learning Engineer
Sunnyvale, CA · On-site
Our team delivers algorithms that power many Apple technologies, including Apple Vision Pro ... You will perform applied research development to adapt state-of-the-art methods or implement new ...
Machine Learning Engineer
Sunnyvale, CA · On-site
Our team delivers algorithms that power many Apple technologies, including Apple Vision Pro ... You will perform applied research development to adapt state-of-the-art methods or implement new ...
Are you looking to bring your expertise to help build intelligent features that are reaching hundreds of millions of users across Apple platforms? We are an applied machine learning team located in ...
Are you looking to bring your expertise to help build intelligent features that are reaching hundreds of millions of users across Apple platforms? We are an applied machine learning team located in ...
The On-Device Machine Learning team transforms groundbreaking research into practical applications, enabling billions of Apple devices to run powerful AI models locally, privately, and efficiently.
The On-Device Machine Learning team transforms groundbreaking research into practical applications, enabling billions of Apple devices to run powerful AI models locally, privately, and efficiently.
Machine Learning Engineer
Sunnyvale, CA · On-site
Our team delivers algorithms that power Apple Vision Pro's Eyesight, Persona and other VisionOS ... We perform applied research development to adapt state-of-the-art methods or implement new methods ...
Machine Learning Engineer
Sunnyvale, CA · On-site
Our team delivers algorithms that power Apple Vision Pro's Eyesight, Persona and other VisionOS ... We perform applied research development to adapt state-of-the-art methods or implement new methods ...
Machine Learning Research Engineer, Input Experience, Apple Intelligence
Cupertino, CA · On-site
$252K/yr
Are you looking to bring your expertise to help build intelligent features that are reaching hundreds of millions of users across Apple platforms? We are an applied machine learning team located in ...
Machine Learning Research Engineer, Input Experience, Apple Intelligence
Cupertino, CA · On-site
$252K/yr
Are you looking to bring your expertise to help build intelligent features that are reaching hundreds of millions of users across Apple platforms? We are an applied machine learning team located in ...
Machine Learning Engineer
$150K - $277K/yr
Our team delivers algorithms that power many Apple technologies, including Apple Vision Pro ... You will perform applied research development to adapt state-of-the-art methods or implement new ...
Machine Learning Engineer
$150K - $277K/yr
Our team delivers algorithms that power many Apple technologies, including Apple Vision Pro ... You will perform applied research development to adapt state-of-the-art methods or implement new ...
Machine Learning Engineer
$175K - $308K/yr
Our team delivers algorithms that power Apple Vision Pro's Eyesight, Persona and other VisionOS ... We perform applied research development to adapt state-of-the-art methods or implement new methods ...
Machine Learning Engineer
$175K - $308K/yr
Our team delivers algorithms that power Apple Vision Pro's Eyesight, Persona and other VisionOS ... We perform applied research development to adapt state-of-the-art methods or implement new methods ...
Manager, Machine Learning Research - SIML, ISE
$206K - $310K/yr
The Human and Object Understanding (HOUr) team at Apple is looking for ML leaders in the space of ... machine learning, and large scale foundation models. Actively contributing to ML community at the ...
Manager, Machine Learning Research - SIML, ISE
$206K - $310K/yr
The Human and Object Understanding (HOUr) team at Apple is looking for ML leaders in the space of ... machine learning, and large scale foundation models. Actively contributing to ML community at the ...
Machine Learning Engineer
$184K - $324K/yr
Our team delivers algorithms that power Apple Vision Pro's Eyesight, Persona and other VisionOS ... We perform applied research development to adapt state-of-the-art methods or implement new methods ...
Machine Learning Engineer
$184K - $324K/yr
Our team delivers algorithms that power Apple Vision Pro's Eyesight, Persona and other VisionOS ... We perform applied research development to adapt state-of-the-art methods or implement new methods ...
On-Device ML Compiler Engineer, Model Compilation, Graphics, Games and Machine Learning
$150K - $277K/yr
The On-Device Machine Learning team transforms groundbreaking research into practical applications, enabling billions of Apple devices to run powerful AI models locally, privately, and efficiently.
On-Device ML Compiler Engineer, Model Compilation, Graphics, Games and Machine Learning
$150K - $277K/yr
The On-Device Machine Learning team transforms groundbreaking research into practical applications, enabling billions of Apple devices to run powerful AI models locally, privately, and efficiently.
Machine Learning - Research
San Francisco, CA · On-site
$241K/yr
Causal Labs is a team of researchers and engineers from self-driving, drug discovery, and robotics ... Strong grasp of machine learning fundamentals, and depth in at least one core domain (e.g. Computer ...
Machine Learning - Research
San Francisco, CA · On-site
$241K/yr
Causal Labs is a team of researchers and engineers from self-driving, drug discovery, and robotics ... Strong grasp of machine learning fundamentals, and depth in at least one core domain (e.g. Computer ...
Apple Machine Learning Research information
See salary details
$11.78 - $14.10
1% of jobs
$14.10 - $16.41
14% of jobs
$17.21 is the 25th percentile. Wages below this are outliers.
$16.41 - $18.73
29% of jobs
The median wage is $19.26 / hr.
$18.73 - $21.04
26% of jobs
$22.27 is the 75th percentile. Wages above this are outliers.
$21.04 - $23.36
10% of jobs
$23.36 - $25.68
6% of jobs
$25.68 - $27.99
5% of jobs
$27.99 - $30.31
4% of jobs
$30.31 - $32.63
2% of jobs
$32.63 - $34.94
1% of jobs
$34.94 - $37.26
1% of jobs
$11
$22
$37
How much do apple machine learning research jobs pay per hour?
As of Jul 8, 2026, the average hourly pay for apple machine learning research in the United States is $22.22, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $23.80 per hour, depending on experience, location, and employer.
Full-time
Re-posted 29 days ago
Apple rating
8.1
Based on 667 frontline employees who took The Breakroom Quiz
5th of 30 rated technology retailers
Job description
Apple Intelligence is designed as a deeply integrated, privacy-preserving capability that seamlessly enhances what people can do across iPhone, iPad, Mac, and other devices. Our goal is to elevate the user experience without requiring our customers to learn new products or fundamentally change how they interact with their technology.
Description
Our team leads Responsible AI & Safety initiatives for global generative AI products, operating at the intersection of policy, product, and GenAI. We're seeking candidates who will shape safety policies in partnership with leadership, design, engineering, legal, and regulatory stakeholders-ensuring our safeguards advance both user protection and product innovation.
You will collaborate closely with top machine learning researchers and engineers, software engineers, and design teams to develop and deliver groundbreaking solutions for Apple products. We believe that the most exciting problems in machine learning research arise at the intersection of emerging technologies and real-world use cases. This is also where the most critical breakthroughs come from.
You will also work on producing safety evaluations that uphold Apple’s Responsible AI values requires thoughtful data sampling, creation, and curation for evaluation datasets; high quality, detailed annotations and careful auto-grading to assess feature performance; and mindful analysis to understand what the evaluation means for the user experience.
Preferred Qualifications
Experience working in the Responsible AI space.
Curiosity about fairness and bias in generative AI systems, and a strong desire to help make the technology more equitable.
Proven success contributing in a highly cross-functional environment
Experience shipping complex AI systems at global scale
Minimum Qualifications
3+ years of proven ability in machine learning, including work with generative models (Transformers, LLMs, VLMs), NLP, or Computer Vision
4+ Years research or product deployment record in areas related to responsible AI, with publications in top ML venues (e.g., ACL, CHI, CVPR, EMNLP, FAccT, ICML, Interspeech, NeurIPS, UIST, etc.)
Strong research fundamentals, machine learning principles, and development methodologies around LLMs, foundation models, and diffusion models
Experience working with generative models for evaluation and/or product development, and up-to-date knowledge of common challenges and failures.
PhD, MS or BS in Computer Science, Machine Learning, or related fields or an equivalent qualification acquired through other avenues
Pay & Benefits
This posting is not for a specific job opening and by submitting your resume you are expressing interest in being contacted about this type of role at Apple in the future.
Description
Our team leads Responsible AI & Safety initiatives for global generative AI products, operating at the intersection of policy, product, and GenAI. We're seeking candidates who will shape safety policies in partnership with leadership, design, engineering, legal, and regulatory stakeholders-ensuring our safeguards advance both user protection and product innovation.
You will collaborate closely with top machine learning researchers and engineers, software engineers, and design teams to develop and deliver groundbreaking solutions for Apple products. We believe that the most exciting problems in machine learning research arise at the intersection of emerging technologies and real-world use cases. This is also where the most critical breakthroughs come from.
You will also work on producing safety evaluations that uphold Apple’s Responsible AI values requires thoughtful data sampling, creation, and curation for evaluation datasets; high quality, detailed annotations and careful auto-grading to assess feature performance; and mindful analysis to understand what the evaluation means for the user experience.
Preferred Qualifications
Experience working in the Responsible AI space.
Curiosity about fairness and bias in generative AI systems, and a strong desire to help make the technology more equitable.
Proven success contributing in a highly cross-functional environment
Experience shipping complex AI systems at global scale
Minimum Qualifications
3+ years of proven ability in machine learning, including work with generative models (Transformers, LLMs, VLMs), NLP, or Computer Vision
4+ Years research or product deployment record in areas related to responsible AI, with publications in top ML venues (e.g., ACL, CHI, CVPR, EMNLP, FAccT, ICML, Interspeech, NeurIPS, UIST, etc.)
Strong research fundamentals, machine learning principles, and development methodologies around LLMs, foundation models, and diffusion models
Experience working with generative models for evaluation and/or product development, and up-to-date knowledge of common challenges and failures.
PhD, MS or BS in Computer Science, Machine Learning, or related fields or an equivalent qualification acquired through other avenues
Pay & Benefits
This posting is not for a specific job opening and by submitting your resume you are expressing interest in being contacted about this type of role at Apple in the future.
About Apple
Sourced by ZipRecruiter
Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Cupertino, CA, US
Year founded
1976