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• Machine Learning Engineer

  Machine Learning and AI14 de ago de 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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• Sr Machine Learning Engineer, Proactive - ML Systems Engineering

  Machine Learning and AI14 de ago de 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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• Senior Apps Applied Scientist

  Machine Learning and AI13 de ago de 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 de ago de 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 de ago de 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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• Staff Machine Learning Engineer – Ads Signals Intelligence & Information Retrieval

  Machine Learning and AI12 de ago de 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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• AI/ML Software Engineer

  Machine Learning and AI11 de ago de 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 de ago de 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 de ago de 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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• Engineering Manager, Machine Learning & NLP, Input Experience

  Machine Learning and AI07 de ago de 2026

  LocationCupertino

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  • ShareEngineering Manager, Machine Learning & NLP, Input Experience 200671833-0836

  • Role Number:  200671833-0836
  • Weekly Hours: 40 Hours

  From our origins in iPhone keyboard input, the Input Experience NLP team has expanded our broad charter: enhancing the user experience with robust language understanding and personalized text composition, across all Apple platforms and languages. Generative AI is a transformative technology, and we are just beginning to harness its potential to help users digest information and express themselves more clearly. On our team, you will help build the future and shape its evolution. Our team is responsible for key Apple Intelligence portfolios such as personalized Writing Tools, Summarization (M...

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• AIML - Privacy & Compliance Data Strategy Lead, Evaluation

  Machine Learning and AI07 de ago de 2026

  LocationNew York City

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  • ShareAIML - Privacy & Compliance Data Strategy Lead, Evaluation 200676512-2459

  • Role Number:  200676512-2459
  • Weekly Hours: 40 Hours

  Imagine what you could do here. At Apple, new 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. The AIML Privacy and Regulatory Compliance (PaRC) team leads privacy and regulatory compliance across AIML, partnering closely with Privacy Engineering, Privacy Legal, Competition Legal, Government Affairs, and various regulatory groups. This team shapes the direction of software features, models, and platforms across the company — balancing the tradeoffs invo...

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• AIML Data Operations - Senior Annotation Analyst Team Lead

  Machine Learning and AI07 de ago de 2026

  LocationSingapore

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  • ShareAIML Data Operations - Senior Annotation Analyst Team Lead 200672332-3278

  • Role Number:  200672332-3278
  • Weekly Hours: 40 Hours

  Imagine what you could do here. At Apple, extraordinary people gather to do their best work, transforming groundbreaking ideas into revolutionary products and experiences that people once couldn’t have imagined—and now can’t live without. We invite you to join Apple’s AIML (Artificial Intelligence and Machine Learning) Data Operations team within Global Operations. Here, visionaries and specialists from diverse backgrounds collaborate at the forefront of advancing technology, inspiring the innovation that runs through everything we do. If you’re excited to make a real impact within one of t...

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• Engineering Program Manager, Siri App Experience

  Machine Learning and AI06 de ago de 2026

  LocationCupertino

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  • ShareEngineering Program Manager, Siri App Experience 200675038-0836

  • Role Number:  200675038-0836
  • Weekly Hours: 40 Hours

  Apple Intelligence has a profound impact on our customers globally, and Siri AI plays a pivotal role in enhancing the overall experience. We are seeking a highly skilled Engineering Program Manager with a proven track record of developing and maintaining complex software platforms, tools, and processes that deliver innovative, end-to-end experiences that cater to customer satisfaction. The Siri App Experience team is redefining what a deeply personal and integrated assistant can be.

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• Engineering Program Manager, Siri App Experience

  Machine Learning and AI06 de ago de 2026

  LocationSeattle

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  • ShareEngineering Program Manager, Siri App Experience 200675038-3337

  • Role Number:  200675038-3337
  • Weekly Hours: 40 Hours

  Apple Intelligence has a profound impact on our customers globally, and Siri AI plays a pivotal role in enhancing the overall experience. We are seeking a highly skilled Engineering Program Manager with a proven track record of developing and maintaining complex software platforms, tools, and processes that deliver innovative, end-to-end experiences that cater to customer satisfaction. The Siri App Experience team is redefining what a deeply personal and integrated assistant can be.

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• Machine Learning Engineer - Health AIML

  Machine Learning and AI05 de ago de 2026

  LocationCupertino

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  • ShareMachine Learning Engineer - Health AIML 200662966-0836

  • Role Number:  200662966-0836
  • Weekly Hours: 40 Hours

  The Health AI team is at the forefront of machine learning and health science at Apple. We are a close-knit team of highly accomplished, deeply technical research scientists, software engineers, and machine learning engineers passionate about delivering innovative technologies that impact millions of users. We are looking for a senior engineer excited about solving real-world problems in the health domain that make a difference in our customers' lives.

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• Sr. Robot ML Engineer

  Machine Learning and AI04 de ago de 2026

  LocationCupertino

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  • ShareSr. Robot ML Engineer 200675240-0836

  • Role Number:  200675240-0836
  • 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 Apple Store 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. Here, you'll do mo...

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• Research Manager, Multimodal Reasoning - SIML

  Machine Learning and AI30 de jul de 2026

  LocationCupertino

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  • ShareResearch Manager, Multimodal Reasoning - SIML 200657558-0836

  • Role Number:  200657558-0836
  • Weekly Hours: 40 Hours

  The System Intelligence and Machine Learning (SIML) Content Understanding team is seeking a Senior Research Manager in Multimodal Reasoning. You will be working alonside teams that are in charge of operating system wide embeddings, personalized RAG workstreams, tool calling, context compaction / efficiency & memory systems. Projects are focussed on advancing Apple Intelligence capabilities, while working closely across disciplines with our partners in hardware engineering, design and product. Selected references to our prior work: (a) https://arxiv.org/pdf/2507.13575 (b) https://arxiv.org...

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• Research Manager, Multimodal Reasoning - SIML

  Machine Learning and AI30 de jul de 2026

  LocationSeattle

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  • ShareResearch Manager, Multimodal Reasoning - SIML 200657558-3337

  • Role Number:  200657558-3337
  • Weekly Hours: 40 Hours

  The System Intelligence and Machine Learning (SIML) Content Understanding team is seeking a Senior Research Manager in Multimodal Reasoning. You will be working alonside teams that are in charge of operating system wide embeddings, personalized RAG workstreams, tool calling, context compaction / efficiency & memory systems. Projects are focussed on advancing Apple Intelligence capabilities, while working closely across disciplines with our partners in hardware engineering, design and product. Selected references to our prior work: (a) https://arxiv.org/pdf/2507.13575 (b) https://arxiv.org...

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• Senior Machine Learning Engineer, Proactive

  Machine Learning and AI29 de jul de 2026

  LocationSanta Clara

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  • ShareSenior Machine Learning Engineer, Proactive 200674447-3760

  • Role Number:  200674447-3760
  • Weekly Hours: 40 Hours

  At Apple, machine learning powers experiences that anticipate what people need before they ask. We're looking for a Machine Learning Engineer to help build the next generation of intelligent search and AI experiences technology that understands user intent, context, and personal information while preserving privacy. In this role, you'll design, train, optimize, and deploy large language models, semantic retrieval systems, and ranking models that power relevant, personalized, context-aware search across Apple's ecosystem. You'll work at the intersection of search, retrieval, natural language...

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• Sr Python Backend Engineer, AIML

  Machine Learning and AI29 de jul de 2026

  LocationCupertino

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  • ShareSr Python Backend Engineer, AIML 200609199-0836

  • Role Number:  200609199-0836
  • Weekly Hours: 40 Hours

  Are you excited to tackle some of the most ambitious technical challenges in Apple Intelligence? Be involved in collaborating closely with our machine learning researchers, engineers, and data scientists? Together, you will orchestrate groundbreaking research initiatives and develop transformative products designed to build a significant impact for billions of users worldwide! The AI and Machine Learning team is looking for Sr Python Backend Engineer to build world-class data solutions that are used by data scientists, ML engineers and researchers to power Apple Foundation Model lifecycle.

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