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• Strategic Partnerships Lead, Corporate Development

  Machine Learning and AI13 cze 2026

  LocationCupertino

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  • ShareStrategic Partnerships Lead, Corporate Development 200646043-0836

  • Role Number:  200646043-0836
  • Weekly Hours: 40 Hours

  Apple’s Corporate Development team is seeking a visionary business development leader to drive high-impact strategic partnerships and accelerate innovation. This role will manage select, high-profile external relationships while partnering closely with cross-functional teams across Apple, including engineering, product, and operations. The successful candidate will influence Apple’s long-term strategy by driving transformative partnerships and collaborations, providing actionable insights to senior leadership. We thrive on bold thinking, embrace complexity, and value individuals who bring ...

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• AIML - Machine Learning Engineer, Foundation Models

  Machine Learning and AI12 cze 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 cze 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 cze 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 - Large Language Models & Generative AI Inference

  Machine Learning and AI12 cze 2026

  LocationCupertino

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  • ShareMachine Learning Engineer - Large Language Models & Generative AI Inference 200667252-0836

  • Role Number:  200667252-0836
  • Weekly Hours: 40 Hours

  The Intelligence Platform team empowers clients across Apple’s operating systems with a high quality user-centric search and data platform, and the primary inference platform that enable next generation user experiences for Apple Intelligence. We are in search of an accomplished and driven Machine Learning Engineer who has a robust understanding of Large Language Models, Generative AI and high-performance systems computing. Your primary role will involve working with our cross-functional teams that build foundation models, as well as our client teams that want to run inference using these m...

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• Senior Machine Learning Engineer, Proactive - Apple Intelligence Data Platform

  Machine Learning and AI11 cze 2026

  LocationSeattle

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  • ShareSenior Machine Learning Engineer, Proactive - Apple Intelligence Data Platform 200625093-3337

  • Role Number:  200625093-3337
  • 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 cze 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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• Sr. Software Engineer, Siri Speech

  Machine Learning and AI11 cze 2026

  LocationCupertino

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  • ShareSr. Software Engineer, Siri Speech 200667547-0836

  • Role Number:  200667547-0836
  • 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, service we create, or experience we deliver 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. Come join us and do your best ...

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• Machine Learning Engineer, ASE Search Team

  Machine Learning and AI11 cze 2026

  LocationSan Francisco

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  • ShareMachine Learning Engineer, ASE Search Team 200668044-3577

  • Role Number:  200668044-3577
  • Weekly Hours: 40 Hours

  The Apple Services Engineering AI/ML organization is hiring a Machine Learning Engineer to join the Search team for Video catalog. Our team builds the core intelligence that powers search discovery experiences in the Apple TV App, Siri, and Spotlight cross platforms, helping users effortlessly find and enjoy the content they love. We are a collaborative, high-impact team that values innovation, craftsmanship, and end-to-end ownership from idea to launch. Our systems combine large-scale data, modern retrieval and ranking models, and a deep commitment to user privacy. Join us, you’ll develo...

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• Machine Learning Engineer

  Machine Learning and AI11 cze 2026

  LocationLondon

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  • ShareMachine Learning Engineer 200666780-2114

  • Role Number:  200666780-2114
  • Weekly Hours: 35 Hours

  Imagine what you could do here. At Apple, great 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! Are you passionate about music, movies, and the world of Artificial Intelligence and Machine Learning? So are we! Join our Human-Centered AI team for Apple Media Services. In this role, you'll represent the user perspective on new features, review and analyze data, and evaluate AI models powering everything from search and recommendations to other in...

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

  Machine Learning and AI10 cze 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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• Systems Engineer - Evaluation Engineering

  Machine Learning and AI09 cze 2026

  LocationCupertino

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  • ShareSystems Engineer - Evaluation Engineering 200667461-0836

  • Role Number:  200667461-0836
  • Weekly Hours: 40 Hours

  We are looking for a Distributed Systems Engineer to own the infrastructure powering our core Siri Agentic Evaluation Platform. Evaluation is no longer just a static test suite—it is a highly dynamic, massive-scale distributed problem. Our platform enables teams to run high-throughput agentic simulations, orchestrate multi-model judging pipelines, and generate real-time observability dashboards across billions of tokens and complex data types.

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• AIML - Sr Machine Learning Engineer, Data and ML Innovation

  Machine Learning and AI08 cze 2026

  LocationCupertino

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  • ShareAIML - Sr Machine Learning Engineer, Data and ML Innovation 200667335-0836

  • Role Number:  200667335-0836
  • Weekly Hours: 40 Hours

  We are looking for talented machine learning engineers who are excited to tackle some of the most meaningful and technically challenging problems in building and deploying foundation model–based products for our customers. As a Machine Learning Engineer focused on foundation model evaluation, you will play a critical role in assessing the capabilities of the models that power Apple Intelligence features. You will work closely with machine learning researchers to translate evaluation insights into actionable improvements that advance future model performance.

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• AIML Engineer - Human Perception

  Machine Learning and AI08 cze 2026

  LocationSunnyvale

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  • ShareAIML Engineer - Human Perception 200667012-3956

  • Role Number:  200667012-3956
  • Weekly Hours: 40 Hours

  The Video Computer Vision organization is working on breakthrough technologies for future Apple products. Our team delivers cutting-edge AI, machine learning, computer vision and graphics algorithms that power technologies including human understanding, perception, digital humans, AI agents, and health applications. In this role, you will collaborate with world-class experts in AI, ML, Software, and Hardware to tackle fundamental challenges in human-centric solutions that will impact millions of users across Apple's ecosystem.

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• Senior Software Engineer: Agentic Evaluation

  Machine Learning and AI08 cze 2026

  LocationCupertino

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  • ShareSenior Software Engineer: Agentic Evaluation 200666976-0836

  • Role Number:  200666976-0836
  • Weekly Hours: 40 Hours

  At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Do you want to help measure and improve the quality of Siri across the devices, features, and experiences people rely on every day? Apple's Agentic Evaluation Engineering organization builds the infrastructure that determines how Siri's quality is measured, trusted, and improved. You'll join a team focused on expanding what that platform can reach: the devices and environments we evaluate on, ...

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• Machine Learning Manager, Data for Foundation Models

  Machine Learning and AI08 cze 2026

  LocationCupertino

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  • ShareMachine Learning Manager, Data for Foundation Models 200667330-0836

  • Role Number:  200667330-0836
  • Weekly Hours: 40 Hours

  Do you believe that generative models can fundamentally change how people interact with devices? Are you excited by the possibility of connecting people to unprecedented levels of creativity? Come join the team that turned cutting edge Generative AI research into compelling user experiences through Apple Intelligence. We are part of the Intelligent System Experiences team at Apple and work on the core modeling technology behind Genmoji, Image Playground and Image Wand. From web-scale datasets to distributed training of foundation models, application specific adapters to on-device optimiza...

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• ML Researcher, Apple Foundation Models

  Machine Learning and AI08 cze 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 Machine Learning Research Engineer, NLP, Input Experience

  Machine Learning and AI05 cze 2026

  LocationCupertino

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  • ShareSenior Machine Learning Research Engineer, NLP, Input Experience 200651071-0836

  • Role Number:  200651071-0836
  • Weekly Hours: 40 Hours

  Our team’s mission is to enhance ML powered user experiences on all Apple platforms through personalized multimodal input, composition, and understanding, with a global perspective. We achieve this daily by collaborating at the intersection of natural language processing, machine learning, and software engineering. We are responsible for the machine learning and software (non-UI) development for several user-facing Apple Intelligence features, including Writing Tools, Summarization, Found In Apps, and Messages/Mail Smart Replies. Additionally, we oversee the keyboard machine learning and ...

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• AIML - Data Operations Annotation Analyst (Mandarin)

  Machine Learning and AI05 cze 2026

  LocationShanghai

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  • ShareAIML - Data Operations Annotation Analyst (Mandarin) 200651352-3715

  • Role Number:  200651352-3715
  • Weekly Hours: 40 Hours

  Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. The people here at Apple donʼt just craft products - they build the kind of wonder that revolutionized entire industries. Itʼs the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it! Are you interested in being part of a team that continues to innovate the way ...

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• AIML Data Operations - Site Project Representative

  Machine Learning and AI05 cze 2026

  LocationSingapore

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  • ShareAIML Data Operations - Site Project Representative 200659558-3278

  • Role Number:  200659558-3278
  • Weekly Hours: 40 Hours

  Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. The people here at Apple don’t just craft products - they build the kind of wonder thatʼs revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. AIML Data Operations is a fast paced, dynamic environment. Our team directly...

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