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• Senior Machine Learning Engineer, Proactive

  Machine Learning and AI14. sep. 2026

  LocationSanta Clara

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  • ShareSenior Machine Learning Engineer, Proactive 200683565-3760

  • Role Number:  200683565-3760
  • Weekly Hours: 40 Hours

  At Apple, machine learning powers experiences that anticipate what people need before they ask. We're looking for a Senior 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, fine-tune, optimize, and deploy large language models, semantic retrieval systems, and ranking models that power relevant, personalized, and context-aware experiences across Apple's ecosystem.

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• Senior Machine Learning Engineer, Natural Language Generation

  Machine Learning and AI11. sep. 2026

  LocationSeattle

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  • ShareSenior Machine Learning Engineer, Natural Language Generation 200683336-3337

  • Role Number:  200683336-3337
  • Weekly Hours: 40 Hours

  From our origins in iPhone keyboard input, the Input Experience NLP team has expanded to a broad charter: improve the user experience with robust language understanding and personalized text composition, across languages and Apple platforms. We build the ML models that underlie Summarization, Smart Reply, Writing Tools, and other features deeply integrated into Apple products. Generative AI is a transformative technology that we have only just begun to incorporate into our digital lives, to help everyday people digest the deluge of information they receive and express themselves more clearl...

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• Machine Learning Manager, Visual Generation Foundation Models

  Machine Learning and AI11. sep. 2026

  LocationCupertino

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  • ShareMachine Learning Manager, Visual Generation 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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• Principal Applied Research Engineer/Scientist, Siri Labs

  Machine Learning and AI10. sep. 2026

  LocationCupertino

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  • SharePrincipal Applied Research Engineer/Scientist, Siri Labs 200651756-0836

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

  Join the team redefining what a deeply personal and integrated assistant can be. As part of the Siri organization, you will help shape one of the world's most widely used AI assistants, powered by our next-generation of Apple Intelligence, with capabilities like personal context understanding and on-screen awareness, built with privacy from the ground up. Your work will have direct, meaningful impact for users across iOS, iPadOS, macOS, watchOS, and visionOS. This is a rare opportunity to build at the intersection of cutting-edge AI and human-centered design, shipping technology that is c...

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• Sr. Machine Learning Engineer, ML Systems Evaluation Engineering

  Machine Learning and AI10. sep. 2026

  LocationCupertino

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  • ShareSr. Machine Learning Engineer, ML Systems Evaluation Engineering 200683055-0836

  • Role Number:  200683055-0836
  • Weekly Hours: 40 Hours

  Join the team redefining what a deeply personal and integrated assistant can be.  As part of the Siri organization, you will help shape one of the world's most widely used AI assistants, powered by our next-generation of Apple Intelligence, with capabilities like personal context understanding and on-screen awareness, built with privacy from the ground up. Your work will have direct, meaningful impact for users across iOS, iPadOS, macOS, watchOS, and visionOS. This is a rare opportunity to build at the intersection of cutting-edge AI and human-centered design, shipping technology that is ...

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• Sr. Machine Learning Engineer, ML Systems Evaluation Engineering

  Machine Learning and AI10. sep. 2026

  LocationSeattle

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  • ShareSr. Machine Learning Engineer, ML Systems Evaluation Engineering 200683055-3337

  • Role Number:  200683055-3337
  • Weekly Hours: 40 Hours

  Join the team redefining what a deeply personal and integrated assistant can be.  As part of the Siri organization, you will help shape one of the world's most widely used AI assistants, powered by our next-generation of Apple Intelligence, with capabilities like personal context understanding and on-screen awareness, built with privacy from the ground up. Your work will have direct, meaningful impact for users across iOS, iPadOS, macOS, watchOS, and visionOS. This is a rare opportunity to build at the intersection of cutting-edge AI and human-centered design, shipping technology that is ...

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• Software Engineering Manager - Siri Evaluation, Developer Workflows

  Machine Learning and AI10. sep. 2026

  LocationNew York City

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  • ShareSoftware Engineering Manager - Siri Evaluation, Developer Workflows 200674115-2459

  • Role Number:  200674115-2459
  • Weekly Hours: 40 Hours

  Siri's evaluation signal drives every model and product decision before a release ships. The Developer Workflows team, part of Siri's Agentic Evaluation Engineering organization, builds and maintains the next generation of developer workflows that Apple's internal teams rely on to evaluate what they build. We are looking for a hands-on engineering leader to run this team in New York and set its technical direction.

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• Senior Machine Learning Engineer, NLP, Input Experience

  Machine Learning and AI10. sep. 2026

  LocationCupertino

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  • ShareSenior Machine Learning 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 - Machine Learning Research Lead, RL Agents, MLR

  Machine Learning and AI09. sep. 2026

  LocationCupertino

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  • ShareAIML - Machine Learning Research Lead, RL Agents, MLR 200674615-0836

  • Role Number:  200674615-0836
  • Weekly Hours: 40 Hours

  We are looking for a hands-on research lead to drive our work on reinforcement learning and post-training for agentic AI, and to manage a small team of senior researchers working on related problems in RL, agentic tool-calling, synthetic environment generation, model scaling, and multimodal action models. You will help set direction for how we develop infrastructure, training, runtime and evaluation procedures for interactive agents — tool calling, coding, computer use, and long-horizon tasks. This role sits inside a research organization pursuing first-principles approaches to core AI pro...

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• Machine Learning Engineer - Health AIML

  Machine Learning and AI09. sep. 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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• AIML Data Operations - Site Project Representative

  Machine Learning and AI09. sep. 2026

  LocationSingapore

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  • ShareAIML Data Operations - Site Project Representative 200675940-3278

  • Role Number:  200675940-3278
  • 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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• AIML - Software Engineer - AI, Evaluation

  Machine Learning and AI08. sep. 2026

  LocationCupertino

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  • ShareAIML - Software Engineer - AI, Evaluation 200679752-0836

  • Role Number:  200679752-0836
  • Weekly Hours: 40 Hours

  Do you get excited by building software systems to enhance the automatic evaluation of various Apple AI products? Our Evaluation organization is responsible for providing principled assessments across a diverse range of Apple features, from Search, Siri to the latest Apple Intelligence capabilities. Our team specializes in building LLM-as-judge and related tools to improve both the quality and efficiency of these evaluations. We are seeking a highly innovative and passionate AI software engineer to expand our tools and systems.

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• Sr. Machine Learning Engineer, Speech LLM Evaluation

  Machine Learning and AI08. sep. 2026

  LocationCupertino

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  • ShareSr. Machine Learning Engineer, Speech LLM Evaluation 200682418-0836

  • Role Number:  200682418-0836
  • Weekly Hours: 40 Hours

  Join the team redefining what a deeply personal and integrated assistant can be.  As part of the Siri organization, you will help shape one of the world's most widely used AI assistants, powered by our next-generation of Apple Intelligence, with capabilities like personal context understanding and on-screen awareness, built with privacy from the ground up. Your work will have direct, meaningful impact for users across iOS, iPadOS, macOS, watchOS, and visionOS. Our Speech Evaluation team sits at the center of Apple's ASR, TTS, and real-time conversational AI efforts, partnering directly wi...

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• Sr. Machine Learning Engineer, Speech LLM Evaluation

  Machine Learning and AI08. sep. 2026

  LocationCambridge

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  • ShareSr. Machine Learning Engineer, Speech LLM Evaluation 200682418-1242

  • Role Number:  200682418-1242
  • Weekly Hours: 40 Hours

  Join the team redefining what a deeply personal and integrated assistant can be.  As part of the Siri organization, you will help shape one of the world's most widely used AI assistants, powered by our next-generation of Apple Intelligence, with capabilities like personal context understanding and on-screen awareness, built with privacy from the ground up. Your work will have direct, meaningful impact for users across iOS, iPadOS, macOS, watchOS, and visionOS. Our Speech Evaluation team sits at the center of Apple's ASR, TTS, and real-time conversational AI efforts, partnering directly wi...

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• Machine Learning Research Engineer, Apple Intelligence

  Machine Learning and AI08. sep. 2026

  LocationBengaluru

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  • ShareMachine Learning Research Engineer, Apple Intelligence 200614863-0321

  • Role Number:  200614863-0321
  • 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, 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 more than join something —...

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• AIML - Machine Learning Researcher, Foundation Models

  Machine Learning and AI03. sep. 2026

  LocationCupertino

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  • ShareAIML - Machine Learning Researcher, Foundation Models 200667299-0836

  • Role Number:  200667299-0836
  • Weekly Hours: 40 Hours

  We are a group of engineers and researchers responsible for building foundation models at Apple. We build infrastructure, datasets, and models with fundamental general capabilities such as understanding and generation of text, images, speech, videos, and other modalities and apply these models to Apple products. We are looking for researchers who are passionate about developing algorithms, techniques, and systems that push the frontier of deep learning and delight millions of users with Apple products powered by foundation models.

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• Senior Machine Learning Engineer / Senior Applied Scientist, Search & AI

  Machine Learning and AI02. sep. 2026

  LocationBengaluru

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  • ShareSenior Machine Learning Engineer / Senior Applied Scientist, Search & AI 200681501-0321

  • Role Number:  200681501-0321
  • Weekly Hours: 40 Hours

  Apple is where individual imaginations come 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 strengthening each other’s ideas. That happens because every one of us believes that we can make something wonderful and share it with the world, changing lives for the better! Here, you’ll do more than join something — you’ll add something. The Information Intelligence team is at the forefront of revolutionizing how billions of people interact with their devices to search and find wha...

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• Staff Machine Learning Engineer, Siri Runtime Systems and Interaction

  Machine Learning and AI01. sep. 2026

  LocationZurich

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  • ShareStaff Machine Learning Engineer, Siri Runtime Systems and Interaction 200680814-4170

  • Role Number:  200680814-4170
  • Weekly Hours: 40 Hours

  As part of Siri Attention and Invocation, we collaborate to deliver the next revolution in human-computer interaction, to inspire and create groundbreaking technology for large-scale systems spanning speech, vision, and generative AI to overcome real-world challenges through innovation and user-centered design that improves the daily experience of millions of our customers.

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• Language Engineer (Mexican Spanish), Global Siri

  Machine Learning and AI01. sep. 2026

  LocationBarcelona

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  • ShareLanguage Engineer (Mexican Spanish), Global Siri 200680115-0215

  • Role Number:  200680115-0215
  • Weekly Hours: 40 Hours

  Play a part in the next revolution of machine learning technology! Create groundbreaking technology for large scale systems, spoken language and artificial intelligence. And work with the people who created the intelligent assistant that helps millions of people get things done — just by asking. Come and join the team that teaches Siri how to understand and speak new languages. We at Global Siri are passionate to build the future of intelligent assistants. We are looking for a Software Engineer with a strong Machine Learning background to join our team shaping the future of Siri in Global...

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• AIML - Machine Learning Researcher, Foundation Models

  Machine Learning and AI31. aug. 2026

  LocationCupertino

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  • ShareAIML - Machine Learning Researcher, Foundation Models 200641998-0836

  • Role Number:  200641998-0836
  • 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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