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• Applied Data Solutions Program, Software Engineering (Full-Time Opportunities)

  Machine Learning and AI14 Aug 2026

  LocationAustin

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  • ShareApplied Data Solutions Program, Software Engineering (Full-Time Opportunities) 200677717-0157

  • Role Number:  200677717-0157
  • Weekly Hours: 40 Hours

  Do you love the challenge of solving complex problems that can have a direct and meaningful impact on the company? Do you want to be part of a supportive team that’s constantly learning and having fun while solving tough business problems? We’d love to talk to you if you do! Join the Applied Data Solutions Program (ADSP) and make a positive impact on one of the most influential technology leaders in the industry. You’ll be tasked with building sophisticated, scalable and robust architecture, tools, data products, and critical data pipelines that are optimized for rapid business intelligen...

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• Applied Data Solutions Program, Software Engineering (Full-Time Opportunities)

  Machine Learning and AI14 Aug 2026

  LocationCupertino

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  • ShareApplied Data Solutions Program, Software Engineering (Full-Time Opportunities) 200677717-0836

  • Role Number:  200677717-0836
  • Weekly Hours: 40 Hours

  Do you love the challenge of solving complex problems that can have a direct and meaningful impact on the company? Do you want to be part of a supportive team that’s constantly learning and having fun while solving tough business problems? We’d love to talk to you if you do! Join the Applied Data Solutions Program (ADSP) and make a positive impact on one of the most influential technology leaders in the industry. You’ll be tasked with building sophisticated, scalable and robust architecture, tools, data products, and critical data pipelines that are optimized for rapid business intelligen...

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• Applied Data Solutions Program, Software Engineering (Full-Time Opportunities)

  Machine Learning and AI14 Aug 2026

  LocationSan Diego

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  • ShareApplied Data Solutions Program, Software Engineering (Full-Time Opportunities) 200677717-3543

  • Role Number:  200677717-3543
  • Weekly Hours: 40 Hours

  Do you love the challenge of solving complex problems that can have a direct and meaningful impact on the company? Do you want to be part of a supportive team that’s constantly learning and having fun while solving tough business problems? We’d love to talk to you if you do! Join the Applied Data Solutions Program (ADSP) and make a positive impact on one of the most influential technology leaders in the industry. You’ll be tasked with building sophisticated, scalable and robust architecture, tools, data products, and critical data pipelines that are optimized for rapid business intelligen...

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• Applied Data Solutions Program, Machine Learning (Full-Time Opportunities)

  Machine Learning and AI14 Aug 2026

  LocationAustin

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  • ShareApplied Data Solutions Program, Machine Learning (Full-Time Opportunities) 200677724-0157

  • Role Number:  200677724-0157
  • Weekly Hours: 40 Hours

  Do you love the challenge of solving complex problems that can have a direct and meaningful impact on the company? Do you want to be part of a supportive team that’s constantly learning and having fun while solving tough business problems? We’d love to talk to you if you do! Join the Applied Data Solutions Program (ADSP) and make a positive impact on one of the most influential technology leaders in the industry. You’ll be tasked with building sophisticated, scalable and robust architecture, tools, data products, and critical data pipelines that are optimized for rapid business intelligen...

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• Applied Data Solutions Program, Machine Learning (Full-Time Opportunities)

  Machine Learning and AI14 Aug 2026

  LocationCupertino

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  • ShareApplied Data Solutions Program, Machine Learning (Full-Time Opportunities) 200677724-0836

  • Role Number:  200677724-0836
  • Weekly Hours: 40 Hours

  Do you love the challenge of solving complex problems that can have a direct and meaningful impact on the company? Do you want to be part of a supportive team that’s constantly learning and having fun while solving tough business problems? We’d love to talk to you if you do! Join the Applied Data Solutions Program (ADSP) and make a positive impact on one of the most influential technology leaders in the industry. You’ll be tasked with building sophisticated, scalable and robust architecture, tools, data products, and critical data pipelines that are optimized for rapid business intelligen...

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• Sr Machine Learning Engineer, Proactive - ML Systems Engineering

  Machine Learning and AI14 Aug 2026

  LocationCupertino

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  • ShareSr Machine Learning Engineer, Proactive - ML Systems Engineering 200660665-0836

  • Role Number:  200660665-0836
  • Weekly Hours: 40 Hours

  Apple’s products combine the best hardware and incredible software to deliver magical experiences to our customers. The Proactive Intelligence team builds features that anticipate customer’s needs and create personalized experiences by adapting to user behaviors with machine learning running locally on users’ devices. We are seeking exceptional software engineers with a strong machine learning background to join our team where we’re making Apple Intelligence more capable and personalized to surprise and delight our millions of customers on the iPhone, Mac, Apple Watch, iPad, and more!

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• Sr. Machine Learning Engineer, Foundation Models Inference - Cloud OS & Inference

  Machine Learning and AI13 Aug 2026

  LocationSanta Clara

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  • ShareSr. Machine Learning Engineer, Foundation Models Inference - Cloud OS & Inference 200677962-3760

  • Role Number:  200677962-3760
  • Weekly Hours: 40 Hours

  We are the Foundation Model Inference team within Cloud OS and AI Inference organization. We are on a mission to build the most highly performant, secure and private inference stack that powers Siri AI, Apple Intelligence and Apps that are powered with the largest foundation models. Our systems serve billions of queries daily across Siri AI, Apple Intelligence, Apple Search, Apple Music, Apple TV, App Store, iMessage, Photos, Camera, Spotlight & Safari, at remarkably low latency with every ounce of compute extracted from the hardware beneath them. We optimize language, vision, and speech m...

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• Sr. Machine Learning Engineer, Foundation Models Inference - Cloud OS & Inference

  Machine Learning and AI13 Aug 2026

  LocationSeattle

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  • ShareSr. Machine Learning Engineer, Foundation Models Inference - Cloud OS & Inference 200677962-3337

  • Role Number:  200677962-3337
  • Weekly Hours: 40 Hours

  We are the Foundation Model Inference team within Cloud OS and AI Inference organization. We are on a mission to build the most highly performant, secure and private inference stack that powers Siri AI, Apple Intelligence and Apps that are powered with the largest foundation models. Our systems serve billions of queries daily across Siri AI, Apple Intelligence, Apple Search, Apple Music, Apple TV, App Store, iMessage, Photos, Camera, Spotlight & Safari, at remarkably low latency with every ounce of compute extracted from the hardware beneath them. We optimize language, vision, and speech m...

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• Senior Apps Applied Scientist

  Machine Learning and AI13 Aug 2026

  LocationCupertino

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  • ShareSenior Apps Applied Scientist 200677906-0836

  • Role Number:  200677906-0836
  • Weekly Hours: 40 Hours

  We’re idealists. Inventors. Forever tinkering with products and processes, always on the lookout for better. Whether you work at our global offices, offsite, or even at home, a job at Apple will be demanding. But it also rewards forward-thinking, creative thinking and hard work. And none of us here would have it any other way. Does an exciting, dynamic, and fast-paced environment catch your attention? Do you like puzzles and determining solutions that are not obvious? Terrific! Consider joining our team! The Applications team is looking for an outstanding Applied Scientist who will strength...

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• Senior Apps Applied Scientist

  Machine Learning and AI13 Aug 2026

  LocationNew York City

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  • ShareSenior Apps Applied Scientist 200677906-2459

  • Role Number:  200677906-2459
  • Weekly Hours: 40 Hours

  We’re idealists. Inventors. Forever tinkering with products and processes, always on the lookout for better. Whether you work at our global offices, offsite, or even at home, a job at Apple will be demanding. But it also rewards forward-thinking, creative thinking and hard work. And none of us here would have it any other way. Does an exciting, dynamic, and fast-paced environment catch your attention? Do you like puzzles and determining solutions that are not obvious? Terrific! Consider joining our team! The Applications team is looking for an outstanding Applied Scientist who will strength...

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• Senior Apps Applied Scientist

  Machine Learning and AI13 Aug 2026

  LocationSeattle

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  • ShareSenior Apps Applied Scientist 200677906-3337

  • Role Number:  200677906-3337
  • Weekly Hours: 40 Hours

  We’re idealists. Inventors. Forever tinkering with products and processes, always on the lookout for better. Whether you work at our global offices, offsite, or even at home, a job at Apple will be demanding. But it also rewards forward-thinking, creative thinking and hard work. And none of us here would have it any other way. Does an exciting, dynamic, and fast-paced environment catch your attention? Do you like puzzles and determining solutions that are not obvious? Terrific! Consider joining our team! The Applications team is looking for an outstanding Applied Scientist who will strength...

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• Senior Machine Learning Scientist - Ad Campaign Optimization

  Machine Learning and AI12 Aug 2026

  LocationCupertino

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  • ShareSenior Machine Learning Scientist - Ad Campaign Optimization 200649539-0836

  • Role Number:  200649539-0836
  • Weekly Hours: 40 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 adverti...

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• Staff Machine Learning Engineer - Ads Auction

  Machine Learning and AI12 Aug 2026

  LocationCupertino

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  • ShareStaff Machine Learning Engineer - Ads Auction 200663304-0836

  • Role Number:  200663304-0836
  • Weekly Hours: 40 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 advertis...

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• Machine Learning Engineering Manager - Ads Recommendations

  Machine Learning and AI12 Aug 2026

  LocationCupertino

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  • ShareMachine Learning Engineering Manager - Ads Recommendations 200671837-0836

  • Role Number:  200671837-0836
  • Weekly Hours: 40 Hours

  At Apple, we strive every day to create products that enrich people’s lives. Our Advertising Platforms group enables users worldwide to discover new content seamlessly while empowering publishers and developers to promote and monetize their work. Our technology powers advertising in the App Store and Apple News, delivering highly-performant, privacy-first solutions that set new industry standards. We're seeking a dynamic and strategic engineering manager to drive innovation in Ads Recommendations. This role requires a deep understanding of Ad network behavior and the ability to develop and ...

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• AI/ML Software Engineer

  Machine Learning and AI11 Aug 2026

  LocationSunnyvale

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  • ShareAI/ML Software Engineer 200676774-3956

  • Role Number:  200676774-3956
  • Weekly Hours: 40 Hours

  The Video Computer Vision organization is working on exciting technologies for future Apple products. Our team delivers computer vision and machine learning algorithms that power many Apple technologies like human understanding and human intelligence algorithms with applications for digital humans, health and AI. In this role, you will work closely with our team of experts in computer graphics, computer vision and machine learning to design and build solutions to previously unsolved challenges for Apple products and bring high impact to millions of users.

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• Multimodal AI Researcher

  Machine Learning and AI11 Aug 2026

  LocationSunnyvale

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  • ShareMultimodal AI Researcher 200676775-3956

  • Role Number:  200676775-3956
  • 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, multimodal generative AI, and agents. Our algorithms ship across a range of Apple products, including iPhone and Apple Vision Pro, where our work has contributed to technologies like Personalized Spatial Audio, EyeSight, and Persona as well as future Apple products. We are an applied research group, we push the st...

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• AIML - Sr Applied AI Scientist - GenAI Model Autograding, Evaluation

  Machine Learning and AI11 Aug 2026

  LocationCupertino

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  • ShareAIML - Sr Applied AI Scientist - GenAI Model Autograding, Evaluation 200637211-0836

  • Role Number:  200637211-0836
  • Weekly Hours: 40 Hours

  Do you get excited by building AI applications to enhance the evaluation of various Apple AI products? Our Evaluation organization is responsible for providing principled assessments across a diverse range of Apple features, from Search and Siri to the latest Apple Intelligence capabilities. Within this critical function, our team specializes in leveraging advanced AI/ML techniques to enhance both the quality and efficiency of these comprehensive evaluations. We are seeking a highly innovative and passionate Applied AI Scientist to develop cutting-edge AI/ML models for the automatic grad...

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• Machine Learning Engineer, Foundation Model Services

  Machine Learning and AI11 Aug 2026

  LocationSeattle

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  • ShareMachine Learning Engineer, Foundation Model Services 200676373-3337

  • Role Number:  200676373-3337
  • Weekly Hours: 40 Hours

  Do you think differently? Are you eager to break the status quo, bold and ambitious, unafraid to take risks, and passionate about building best-in-class technology? If so, there's no better place to do it than Apple. The Foundation Model Services team builds the frameworks, services, and tools that run Apple's largest foundation models in production. Our infrastructure powers intelligent experiences across products people use every day — Search, Music, TV, the App Store, Messages, Photos, Spotlight, Safari, Siri, and more — serving millions of queries at incredibly low latency while drawing...

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• Staff Applied Scientist, UI Control Models

  Machine Learning and AI11 Aug 2026

  LocationCupertino

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  • ShareStaff Applied Scientist, UI Control Models 200674216-0836

  • Role Number:  200674216-0836
  • Weekly Hours: 40 Hours

  Join us at the forefront of redefining how people interact with their devices. On the Siri team we’re solving the challenge of building and shipping powerful LLMs that shape the way millions of Apple customers get things done every day. As a Staff Applied Scientist, you will craft the future of UI Control by developing powerful yet compact LLMs that bring personalized, private, and low-latency experiences to users. This is a high-impact role for a hands-on applied scientist who thrives at the intersection of cutting-edge AI development and product delivery.

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• Staff/Sr. ML Compute Efficiency Engineer

  Machine Learning and AI11 Aug 2026

  LocationSanta Clara

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  • ShareStaff/Sr. ML Compute Efficiency Engineer 200619215-3760

  • Role Number:  200619215-3760
  • Weekly Hours: 40 Hours

  Scaling machine learning workloads across thousands of GPUs and TPUs creates challenges that few engineers ever encounter. In Apple’s Machine Learning Platform Technologies organization, we build the infrastructure that powers large-scale ML training and inference workloads, bringing together expertise in distributed systems, machine learning infrastructure, and high-performance computing.

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