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• AIML - Data Scientist, Responsible AI, Product Insights

  Machine Learning and AI16.6.2026

  LocationCupertino

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  • ShareAIML - Data Scientist, Responsible AI, Product Insights 200668695-0836

  • Role Number:  200668695-0836
  • Weekly Hours: 40 Hours

  Help shape the next generation of generative AI at Apple. We're hiring data scientists to work on ambitious projects that will influence the future of Apple, our products, and the people who use them every day. In this role, you'll apply product data science to the safety of Apple Intelligence — features like Siri, Image Playground and Genmoji, Writing Tools, Photos Clean Up, and many more on the way. As part of Apple's Responsible AI Team, you'll support generative AI features from early development through production, holding the line on quality, safety, fairness, inclusion, and user pri...

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• AIML - Machine Learning Engineer, Foundation Models

  Machine Learning and AI12.6.2026

  LocationCupertino

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  • ShareAIML - Machine Learning Engineer, Foundation Models 200633262-0836

  • Role Number:  200633262-0836
  • Weekly Hours: 40 Hours

  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-training approaches that bridge general capability and task-specific performance. What makes our work distinct is that we're engineering models specifically for Apple silicon and optimized for experiences that are private, personal, and deeply integrated into the OS. We're solving frontier problems in reward modeling to resist reward hacking, handling sparse and delayed rewards in agentic settings, an...

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• AIML - Machine Learning Engineer, Foundation Models

  Machine Learning and AI12.6.2026

  LocationNew York City

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  • ShareAIML - Machine Learning Engineer, Foundation Models 200633262-2459

  • Role Number:  200633262-2459
  • Weekly Hours: 40 Hours

  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-training approaches that bridge general capability and task-specific performance. What makes our work distinct is that we're engineering models specifically for Apple silicon and optimized for experiences that are private, personal, and deeply integrated into the OS. We're solving frontier problems in reward modeling to resist reward hacking, handling sparse and delayed rewards in agentic settings, an...

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• AIML - Machine Learning Engineer, Foundation Models

  Machine Learning and AI12.6.2026

  LocationSeattle

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  • ShareAIML - Machine Learning Engineer, Foundation Models 200633262-3337

  • Role Number:  200633262-3337
  • Weekly Hours: 40 Hours

  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-training approaches that bridge general capability and task-specific performance. What makes our work distinct is that we're engineering models specifically for Apple silicon and optimized for experiences that are private, personal, and deeply integrated into the OS. We're solving frontier problems in reward modeling to resist reward hacking, handling sparse and delayed rewards in agentic settings, an...

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• Machine Learning Engineer, Apple Intelligence Data Platform - Proactive

  Machine Learning and AI12.6.2026

  LocationSeattle

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  • ShareMachine Learning Engineer, Apple Intelligence Data Platform - Proactive 200667935-3337

  • Role Number:  200667935-3337
  • Weekly Hours: 40 Hours

  Are you excited about building innovative generative AI experiences that empower millions of users daily? Do you thrive in collaborative environments and enjoy applying your machine learning expertise to real-world user experiences? If so, we’d love to hear from you. We’re looking for a Senior Machine Learning Engineer to join the Apple Intelligence Data Platform team. This team powers key intelligence features across Apple’s ecosystem — including Siri Suggestions, the Shortcuts app, and more — by building scalable, privacy-conscious ML systems! Our team is responsible for the Research, D...

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• Principal Applied Research Engineer/Scientist

  Machine Learning and AI11.6.2026

  LocationCupertino

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  • SharePrincipal Applied Research Engineer/Scientist 200651756-0836

  • Role Number:  200651756-0836
  • Weekly Hours: 40 Hours

  At Apple, we don’t just build products; we create experiences that enrich the lives of billions. You have the unique opportunity to seamlessly integrate foundational AI research with world-class hardware and software, bringing cutting-edge technology to billions of users. Your work will have a far-reaching impact, setting precedents for how autonomous, deeply personalized AI technologies enrich lives across our entire product ecosystem.

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• Computer Vision & Machine Learning Engineer

  Machine Learning and AI11.6.2026

  LocationSunnyvale

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  • ShareComputer Vision & Machine Learning Engineer 200667649-3956

  • Role Number:  200667649-3956
  • Weekly Hours: 40 Hours

  Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build or service we create is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something — you'll add ...

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• Applied AI Engineer (EDA), Platform Architecture

  Machine Learning and AI10.6.2026

  LocationAustin

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  • ShareApplied AI Engineer (EDA), Platform Architecture 200667745-0157

  • Role Number:  200667745-0157
  • Weekly Hours: 40 Hours

  Apple’s Platform Architecture group develops the next generation of Apple hardware, and the tools to make it possible. Our team builds high-performance verification systems that accelerate the development of Apple silicon. We aim to push the boundaries of pre-silicon validation with simulation solutions that apply and extend principles from hardware emulation. We are seeking an engineer to develop and deploy agentic AI workflows that automate and optimize pre-silicon validation processes. In this role, you will bridge the gap between applied artificial intelligence and Electronic Design Au...

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• Applied AI Engineer (EDA), Platform Architecture

  Machine Learning and AI10.6.2026

  LocationCupertino

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  • ShareApplied AI Engineer (EDA), Platform Architecture 200667745-0836

  • Role Number:  200667745-0836
  • Weekly Hours: 40 Hours

  Apple’s Platform Architecture group develops the next generation of Apple hardware, and the tools to make it possible. Our team builds high-performance verification systems that accelerate the development of Apple silicon. We aim to push the boundaries of pre-silicon validation with simulation solutions that apply and extend principles from hardware emulation. We are seeking an engineer to develop and deploy agentic AI workflows that automate and optimize pre-silicon validation processes. In this role, you will bridge the gap between applied artificial intelligence and Electronic Design Au...

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• Applied AI Engineer (EDA), Platform Architecture

  Machine Learning and AI10.6.2026

  LocationAustin

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  • ShareApplied AI Engineer (EDA), Platform Architecture 200667797-0157

  • Role Number:  200667797-0157
  • Weekly Hours: 40 Hours

  Apple’s Platform Architecture group develops the next generation of Apple hardware, and the tools to make it possible. Our team builds high-performance verification systems that accelerate the development of Apple silicon. We aim to push the boundaries of pre-silicon validation with simulation solutions that apply and extend principles from hardware emulation. We are seeking an engineer to develop and deploy agentic AI workflows that automate and optimize pre-silicon validation processes. In this role, you will bridge the gap between applied artificial intelligence and Electronic Design Au...

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• Applied AI Engineer (EDA), Platform Architecture

  Machine Learning and AI10.6.2026

  LocationCupertino

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  • ShareApplied AI Engineer (EDA), Platform Architecture 200667797-0836

  • Role Number:  200667797-0836
  • Weekly Hours: 40 Hours

  Apple’s Platform Architecture group develops the next generation of Apple hardware, and the tools to make it possible. Our team builds high-performance verification systems that accelerate the development of Apple silicon. We aim to push the boundaries of pre-silicon validation with simulation solutions that apply and extend principles from hardware emulation. We are seeking an engineer to develop and deploy agentic AI workflows that automate and optimize pre-silicon validation processes. In this role, you will bridge the gap between applied artificial intelligence and Electronic Design Au...

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• AIML - Senior ML Engineer, Responsible AI and Safety

  Machine Learning and AI10.6.2026

  LocationCupertino

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  • ShareAIML - Senior ML Engineer, Responsible AI and Safety 200667798-0836

  • Role Number:  200667798-0836
  • Weekly Hours: 40 Hours

  Join Us in Shaping the Future of Generative AI at Apple! Are you passionate about making AI systems safer, more inclusive, and globally representative? Apple is seeking an expert Machine Learning Engineer to shape the future of responsible AI for the next generation of generative features. In this role, you will lead the responsible AI lifecycle end-to-end: assessing risks, defining policies, developing mitigation strategies, and driving continuous improvements. Your work will directly influence how we evaluate, align, and monitor the safety of large language and multimodal models. ...

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• AIML - Senior ML Engineer, Responsible AI and Safety

  Machine Learning and AI10.6.2026

  LocationNew York City

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  • ShareAIML - Senior ML Engineer, Responsible AI and Safety 200667798-2459

  • Role Number:  200667798-2459
  • Weekly Hours: 40 Hours

  Join Us in Shaping the Future of Generative AI at Apple! Are you passionate about making AI systems safer, more inclusive, and globally representative? Apple is seeking an expert Machine Learning Engineer to shape the future of responsible AI for the next generation of generative features. In this role, you will lead the responsible AI lifecycle end-to-end: assessing risks, defining policies, developing mitigation strategies, and driving continuous improvements. Your work will directly influence how we evaluate, align, and monitor the safety of large language and multimodal models. ...

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• Staff Machine Learning Engineer – Ads Signals Intelligence & Information Retrieval

  Machine Learning and AI10.6.2026

  LocationCupertino

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  • ShareStaff Machine Learning Engineer – Ads Signals Intelligence & Information Retrieval 200644466-0836

  • Role Number:  200644466-0836
  • Weekly Hours: 5 Hours

  At Apple, we focus deeply on our customers’ experience. Apple Ads brings this same approach to advertising, helping people find exactly what they’re looking for and helping advertisers grow their businesses! Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes—from small app developers to big, global brands. Because when advertising...

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• Senior Machine Learning iOS Platform Engineer — Responsible AI and Safety

  Machine Learning and AI09.6.2026

  LocationVarious locations within San Francisco Bay Area

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  • ShareSenior Machine Learning iOS Platform Engineer — Responsible AI and Safety 200667449-3401

  • Role Number:  200667449-3401
  • Weekly Hours: 40 Hours

  Join Us in Shaping the Future of Generative AI at Apple! Are you passionate about making AI systems safer, more inclusive, and globally representative? Apple is seeking an expert Client Engineer to own the integration of our Responsible AI mitigation assets across the full deployment surface, from on-device foundation models running on Apple Silicon to server-side inference on Private Cloud Compute (PCC). In this role, you will be a pivotal technical leader, bridging Swift client engineering and ML deployment, driving the architectural vision, design, and implementation of how safety cla...

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• Senior Machine Learning iOS Platform Engineer — Responsible AI and Safety

  Machine Learning and AI09.6.2026

  LocationVarious locations within Seattle Metro Area

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  • ShareSenior Machine Learning iOS Platform Engineer — Responsible AI and Safety 200667449

  • Role Number:  200667449
  • Weekly Hours: 40 Hours

  Join Us in Shaping the Future of Generative AI at Apple! Are you passionate about making AI systems safer, more inclusive, and globally representative? Apple is seeking an expert Client Engineer to own the integration of our Responsible AI mitigation assets across the full deployment surface, from on-device foundation models running on Apple Silicon to server-side inference on Private Cloud Compute (PCC). In this role, you will be a pivotal technical leader, bridging Swift client engineering and ML deployment, driving the architectural vision, design, and implementation of how safety cla...

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• ML Researcher, Apple Foundation Models

  Machine Learning and AI08.6.2026

  LocationVarious locations within New York City Metro Area

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  • ShareML Researcher, Apple Foundation Models 200664386-2621

  • Role Number:  200664386-2621
  • Weekly Hours: 40 Hours

  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-training approaches that bridge general capability and task-specific performance. What makes our work distinct is that we're engineering models specifically for Apple silicon and optimized for experiences that are private, personal, and deeply integrated into the OS. We're solving frontier problems in reward modeling to resist reward hacking, handling sparse and delayed rewards in agentic settings, an...

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• Senior Data Scientist, Experimentation & Causal Inference

  Machine Learning and AI05.6.2026

  LocationCupertino

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  • ShareSenior Data Scientist, Experimentation & Causal Inference 200666485-0836

  • Role Number:  200666485-0836
  • Weekly Hours: 40 Hours

  At Apple, some of the most important decisions are shaped by the quality of the evidence behind them. We are seeking a Senior Data Scientist, Experimentation & Causal Inference to help advance the scientific foundations of measurement, experimentation, and organizational learning across Apple Services. This role sits at the intersection of statistics, causal inference, experimental design, and decision-making. You will help define how success is measured, how experiments aredesigned, and how causal evidence is generated and accumulated across the organization. Beyond individual experiment...

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• Senior Data Scientist, Strategic Modeling & Simulation

  Machine Learning and AI05.6.2026

  LocationCupertino

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  • ShareSenior Data Scientist, Strategic Modeling & Simulation 200666451-0836

  • Role Number:  200666451-0836
  • Weekly Hours: 40 Hours

  At Apple, many of the most consequential decisions are made long before products launch, features ship, or investments are approved. We are seeking a Senior Data Scientist, StrategicModeling & Simulation to help quantify the future impact of strategic decisions under uncertainty. This role combines strategic simulation, predictive modeling, machine learning, impact estimation, forecasting, and quantitative decision science to help leadership evaluate opportunities, understand trade-offs, and make better long-term investment decisions. You will develop the models that connect experimenta...

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• Sr Machine Learning Engineer, Proactive

  Machine Learning and AI04.6.2026

  LocationSanta Clara

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  • ShareSr Machine Learning Engineer, Proactive 200661999-3760

  • Role Number:  200661999-3760
  • Weekly Hours: 40 Hours

  We are looking for a hardworking and experienced Machine Learning Engineer to build intelligent search experiences. In this role, you will build intelligent search systems that deeply understand user intent and context to return highly relevant, accurate, and personalized responses. You will develop and deploy machine learning models to shape how users find relevant content or answers, driving better experiences and higher satisfaction!

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