Join the team shaping the data foundation and intelligence for Apple's frontier foundation models. We believe that breakthrough AI capabilities are driven not only by model architecture and scale ...
Join the team shaping the data foundation and intelligence for Apple's frontier foundation models. We believe that breakthrough AI capabilities are driven not only by model architecture and scale ...
ML Engineer, Apple Foundation Models
$150K - $277K/yr
As part of the Apple Foundation Model team, you will help define how next-generation foundation models learn, reason, plan, and interact with the world, powering intelligent experiences used by ...
ML Engineer, Apple Foundation Models
$150K - $277K/yr
As part of the Apple Foundation Model team, you will help define how next-generation foundation models learn, reason, plan, and interact with the world, powering intelligent experiences used by ...
ML Researcher, Apple Foundation Models
$184K - $324K/yr
We build frontier foundation models that power intelligent experiences at Apple. Our team works across the full training lifecycle: including pre-training foundation models, and developing mid ...
ML Researcher, Apple Foundation Models
$184K - $324K/yr
We build frontier foundation models that power intelligent experiences at Apple. Our team works across the full training lifecycle: including pre-training foundation models, and developing mid ...
We build frontier foundation models that power intelligent experiences at Apple. Our team works across the full training lifecycle: including pre-training foundation models, and developing mid ...
We build frontier foundation models that power intelligent experiences at Apple. Our team works across the full training lifecycle: including pre-training foundation models, and developing mid ...
The vision for DMLI organization is to improve Apple Foundation Model and advance in ML Research. Within this organization the mission of the ML Data & Applications (MLDA) team is to build products ...
The vision for DMLI organization is to improve Apple Foundation Model and advance in ML Research. Within this organization the mission of the ML Data & Applications (MLDA) team is to build products ...
AIML - Sr Machine Learning Engineer, Data and ML Innovation
Cupertino, CA · On-site
$68.75 - $91/hr
The vision for DMLI organization is to improve Apple Foundation Model and advance in ML Research. Within this organization the mission of the ML Data & Applications (MLDA) team is to build products ...
AIML - Sr Machine Learning Engineer, Data and ML Innovation
Cupertino, CA · On-site
$68.75 - $91/hr
The vision for DMLI organization is to improve Apple Foundation Model and advance in ML Research. Within this organization the mission of the ML Data & Applications (MLDA) team is to build products ...
At Apple, "we think different, we push the boundaries of computing and intelligence. We build products that bring smile to people's face". Foundation Model Services team, within Machine Learning ...
At Apple, "we think different, we push the boundaries of computing and intelligence. We build products that bring smile to people's face". Foundation Model Services team, within Machine Learning ...
Manager, Engineering Program Manager, Apple Foundation Models, Engineering Tools
Cupertino, CA · On-site
$159K/yr
The Apple Foundation Models team is looking for a manager for the engineering program manager (EPM) team responsible for Engineering Tools. You will lead a team of Program Managers to drive ...
Manager, Engineering Program Manager, Apple Foundation Models, Engineering Tools
Cupertino, CA · On-site
$159K/yr
The Apple Foundation Models team is looking for a manager for the engineering program manager (EPM) team responsible for Engineering Tools. You will lead a team of Program Managers to drive ...
The Apple Foundation Models team is looking for an Engineering Program Manager (EPM) to work with machine learning and software engineering to develop tools to accelerate machine learning model ...
The Apple Foundation Models team is looking for an Engineering Program Manager (EPM) to work with machine learning and software engineering to develop tools to accelerate machine learning model ...
Engineering Program Manager, Apple Foundation Models, Engineering Tools
Cupertino, CA · On-site
$159K/yr
The Apple Foundation Models team is looking for an Engineering Program Manager (EPM) to work with machine learning and software engineering to develop tools to accelerate machine learning model ...
Engineering Program Manager, Apple Foundation Models, Engineering Tools
Cupertino, CA · On-site
$159K/yr
The Apple Foundation Models team is looking for an Engineering Program Manager (EPM) to work with machine learning and software engineering to develop tools to accelerate machine learning model ...
Staff/Sr. Machine Learning Engineer, Foundation Models - AI, Search & Knowledge Platforms
San Francisco, CA · On-site
Our team is responsible to build Inference stack to power Apple Intelligence. It builds frameworks, services and tools that power the largest Apple foundation models on servers. Our Infrastructure ...
Staff/Sr. Machine Learning Engineer, Foundation Models - AI, Search & Knowledge Platforms
San Francisco, CA · On-site
Our team is responsible to build Inference stack to power Apple Intelligence. It builds frameworks, services and tools that power the largest Apple foundation models on servers. Our Infrastructure ...
At Apple, "we think different, we push the boundaries of computing and intelligence. We build products that bring smile to people's face". Foundation Model Services team, within Machine Learning ...
At Apple, "we think different, we push the boundaries of computing and intelligence. We build products that bring smile to people's face". Foundation Model Services team, within Machine Learning ...
At Apple, "we think different, we push the boundaries of computing and intelligence. We build products that bring smile to people's face". Foundation Model Services team, within Machine Learning ...
At Apple, "we think different, we push the boundaries of computing and intelligence. We build products that bring smile to people's face". Foundation Model Services team, within Machine Learning ...
AIML - Site Lead & Lead Researcher, Foundation Models
$205K - $374K/yr
We build frontier foundation models that power intelligent experiences at Apple. Our team works across the full training lifecycle: including pre-training foundation models, and developing mid ...
AIML - Site Lead & Lead Researcher, Foundation Models
$205K - $374K/yr
We build frontier foundation models that power intelligent experiences at Apple. Our team works across the full training lifecycle: including pre-training foundation models, and developing mid ...
WW Consulting Engineer - AI/ML
Chicago, IL · Hybrid
$207K - $311K/yr
Develop and articulate compelling technical value propositions for Apple platforms across enterprise, education, and government sectors, with particular depth around Apple Foundation Models (AFM), on ...
WW Consulting Engineer - AI/ML
Chicago, IL · Hybrid
$207K - $311K/yr
Develop and articulate compelling technical value propositions for Apple platforms across enterprise, education, and government sectors, with particular depth around Apple Foundation Models (AFM), on ...
WW Consulting Engineer - AI/ML
Chicago, IL · Hybrid
$207K - $311K/yr
Develop and articulate compelling technical value propositions for Apple platforms across enterprise, education, and government sectors, with particular depth around Apple Foundation Models (AFM), on ...
WW Consulting Engineer - AI/ML
Chicago, IL · Hybrid
$207K - $311K/yr
Develop and articulate compelling technical value propositions for Apple platforms across enterprise, education, and government sectors, with particular depth around Apple Foundation Models (AFM), on ...
Staff/Sr. Machine Learning Engineer, Foundation Models - AI, Search & Knowledge Platforms
$175K - $308K/yr
Our team is responsible to build Inference stack to power Apple Intelligence. It builds frameworks, services and tools that power the largest Apple foundation models on servers. Our Infrastructure ...
Staff/Sr. Machine Learning Engineer, Foundation Models - AI, Search & Knowledge Platforms
$175K - $308K/yr
Our team is responsible to build Inference stack to power Apple Intelligence. It builds frameworks, services and tools that power the largest Apple foundation models on servers. Our Infrastructure ...
Staff/Sr. Machine Learning Engineer, Foundation Models - AI, Search & Knowledge Platforms
$175K - $308K/yr
Our team is responsible to build Inference stack to power Apple Intelligence. It builds frameworks, services and tools that power the largest Apple foundation models on servers. Our Infrastructure ...
Staff/Sr. Machine Learning Engineer, Foundation Models - AI, Search & Knowledge Platforms
$175K - $308K/yr
Our team is responsible to build Inference stack to power Apple Intelligence. It builds frameworks, services and tools that power the largest Apple foundation models on servers. Our Infrastructure ...
Develop and articulate compelling technical value propositions for Apple platforms across enterprise, education, and government sectors, with particular depth around Apple Foundation Models (AFM), on ...
Develop and articulate compelling technical value propositions for Apple platforms across enterprise, education, and government sectors, with particular depth around Apple Foundation Models (AFM), on ...
WW Consulting Engineer - AI/ML
Chicago, IL · Hybrid
$207K - $311K/yr
Develop and articulate compelling technical value propositions for Apple platforms across enterprise, education, and government sectors, with particular depth around Apple Foundation Models (AFM), on ...
WW Consulting Engineer - AI/ML
Chicago, IL · Hybrid
$207K - $311K/yr
Develop and articulate compelling technical value propositions for Apple platforms across enterprise, education, and government sectors, with particular depth around Apple Foundation Models (AFM), on ...
Apple Foundation information
See salary details
$33.2K is the 25th percentile. Wages below this are outliers.
$21K - $34.6K
28% of jobs
The median wage is $44.3K / yr.
$34.6K - $48.2K
31% of jobs
$48.2K - $61.8K
8% of jobs
$69.9K is the 75th percentile. Wages above this are outliers.
$61.8K - $75.4K
13% of jobs
$75.4K - $89K
0% of jobs
$89K - $102.5K
16% of jobs
$102.5K - $116.1K
0% of jobs
$116.1K - $129.7K
0% of jobs
$129.7K - $143.3K
0% of jobs
$143.3K - $156.9K
1% of jobs
$156.9K - $170.5K
2% of jobs
$21K
$62.6K
$170.5K
How much do apple foundation jobs pay per year?
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What are the key skills and qualifications needed to thrive as an Apple Foundation Program Specialist, and why are they important?
What are the typical responsibilities of an Apple Foundation engineer in supporting Apple’s core technologies?
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What is the Apple Foundation?
What is the difference between Apple Foundation vs Apple Technician?
| Aspect | Apple Foundation | Apple Technician |
|---|---|---|
| Required Credentials | Apple Certified Support Professional (ACSP), basic technical knowledge | Apple Certified Mac Technician (ACMT), technical certifications, hands-on repair skills |
| Work Environment | Customer support, training, and administrative roles in Apple stores or support centers | Technical repair, troubleshooting, and hardware servicing in Apple stores or authorized service providers |
| Employer & Industry Usage | Apple retail stores, customer support centers, training programs | Apple retail stores, authorized service providers, repair centers |
Apple Foundation roles focus on customer support, training, and administrative tasks, requiring basic certifications. Apple Technicians perform hardware repairs and troubleshooting, requiring advanced technical certifications. Both roles are integral to Apple's service ecosystem but differ in technical complexity and responsibilities.

Apple rating
8.1
Based on 670 frontline employees who took The Breakroom Quiz
5th of 30 rated technology retailers
Job description
Description
s a member of Apple's Foundation Models team, you will develop the data strategies, pipelines, and methodologies that drive model capability across the full training lifecycle, including pre-training, mid-training, and post-training. You will work closely with researchers, engineers, and product teams to identify capability gaps, design data-centric solutions, and create high-quality training signals for reasoning, agentic behavior, multimodal understanding, tool use, and alignment. Your work may span large-scale data curation, synthetic data generation, data recipe development, model ablation, benchmark-driven optimization, reward modeling, evaluation systems, and data flywheels that continuously improve model performance. Every dataset, evaluation, and insight you contribute will directly influence the capabilities of the foundation models powering Apple's next generation of intelligent experiences.
Minimum Qualifications
Demonstrated expertise in LLM or Multi-modal LLM with a publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, KDD, ACL, ICASSP, InterSpeech) or a track record in applying deep learning techniques to products
Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow
Ability to work in a collaborative environment
Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field, or equivalent practical experience.
Preferred Qualifications
Experience developing data-centric solutions for foundation models, especially large-scale data flywheels.
Experience improving foundation models using user interaction data, private data, or other real-world feedback signals while maintaining strong privacy and data governance standards.
Experience building agentic systems, tool-use capabilities, and reasoning models.
Experience with model self-improvement techniques.
Experience developing or improving multimodal foundation models across text, vision, audio, and video.
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