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• Engineering Manager, Machine Learning & NLP, Input Experience

  Machine Learning and AI07. aug. 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. aug. 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. aug. 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. aug. 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. aug. 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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• AIML - Privacy & Compliance Data Strategy Lead, Evaluation

  Machine Learning and AI06. aug. 2026

  LocationNew York City

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  • ShareAIML - Privacy & Compliance Data Strategy Lead, Evaluation 200668120-2459

  • Role Number:  200668120-2459
  • 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 involve...

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• Machine Learning Engineer - Health AIML

  Machine Learning and AI05. aug. 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. aug. 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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• AIML Data Operations Team Lead

  Machine Learning and AI03. aug. 2026

  LocationAustin

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  • ShareAIML Data Operations Team Lead 200675470-0157

  • Role Number:  200675470-0157
  • Weekly Hours: 40 Hours

  You’re passionate about supporting others to achieve the highest level of service in every interaction. You’re a role model and leader who advocates for their team. You’re invested in your work relationships and hold yourself and your team to a high standard of accountability. You’re naturally curious and gravitate towards tools and resources that enrich your team. If you are ready to inspire and lead, 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 people and machines interact? The launch of Si...

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• Research Manager, Multimodal Reasoning - SIML

  Machine Learning and AI30. jul. 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. jul. 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. jul. 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. jul. 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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• AIML - ML Prototyping Engineer, Machine Learning Research

  Machine Learning and AI28. jul. 2026

  LocationCupertino

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  • ShareAIML - ML Prototyping Engineer, Machine Learning Research 200674581-0836

  • Role Number:  200674581-0836
  • Weekly Hours: 40 Hours

  The Machine Learning Research Prototyping team sits at the intersection of cutting-edge research and real-world impact. We serve as the bridge between groundbreaking AI and ML discoveries and the innovative products that define tomorrow's user experiences. Our nimble, collaborative team transforms theoretical breakthroughs into tangible prototypes that help Apple understand where AI could go next, and help the broader ML community build on Apple research. We're a small team of engineers who blend ML expertise, product intuition, and design sensibility. We learn by building—our prototypes r...

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• Senior Applied Scientist, Multilingual AI Evaluation

  Machine Learning and AI28. jul. 2026

  LocationSeattle

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  • ShareSenior Applied Scientist, Multilingual AI Evaluation 200661360-3337

  • Role Number:  200661360-3337
  • Weekly Hours: 40 Hours

  AI systems are only as trustworthy as the methods used to evaluate them. At Apple, where AI powers experiences for billions of people around the world, getting evaluation right is not a support function—it is a foundational science. Our team, part of Apple Services Engineering, is building that scientific foundation: rigorous, scalable evaluation methodology for LLMs, agentic systems, and human-AI interaction. We’re looking for a senior applied scientist to make the evaluation tooling we build work across every language and culture Apple serves. This is a role for someone who is fluent in ...

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• AIML - Machine Learning Researcher, Speech

  Machine Learning and AI27. jul. 2026

  LocationCupertino

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  • ShareAIML - Machine Learning Researcher, Speech 200674398-0836

  • Role Number:  200674398-0836
  • Weekly Hours: 40 Hours

  Play a part in building the next revolution in speech and machine learning technology. We're looking for passionate researchers to work on ambitious, curiosity-driven, long-term speech research projects. In this role, you'll have the opportunity to work on innovative foundational research in speech technology and machine learning. As a member of the team, you will be inspired by a diversity of challenging problems, collaborate with world-class machine learning engineers and researchers to impact the future of Apple products, and publish some of your results in high-quality scientific venues.

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• Senior Machine Learning Engineer, NLP, Input Experience

  Machine Learning and AI24. jul. 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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• Software Engineering Manager - Siri Evaluation, Test Development Tooling

  Machine Learning and AI24. jul. 2026

  LocationCupertino

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  • ShareSoftware Engineering Manager - Siri Evaluation, Test Development Tooling 200674115-0836

  • Role Number:  200674115-0836
  • Weekly Hours: 40 Hours

  Siri's quality signal drives every model and product decision before a release ships, and that signal is only as good as the tests and scenarios behind it. The Test Development Tooling team, part of the Siri's Agentic Evaluation Engineering organization, is reimagining how those scenarios are created and maintained. We build tools and AI-powered automation that free our engineers to focus on the quality and strategy of evaluation rather than the manual work of authoring tests. We're looking for an inspiring, hands-on engineering leader to run this team and set its technical direction.

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• Sr Manager, Siri Agentic Evaluation

  Machine Learning and AI24. jul. 2026

  LocationCambridge

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  • ShareSr Manager, Siri Agentic Evaluation 200673865-1251

  • Role Number:  200673865-1251
  • Weekly Hours: 35 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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• Senior Software Engineer

  Machine Learning and AI23. jul. 2026

  LocationCupertino

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  • ShareSenior Software Engineer 200672806-0836

  • Role Number:  200672806-0836
  • Weekly Hours: 40 Hours

  As part of the Siri organization, you will build the systems and tooling that make evaluation a first-class part of how Siri is developed — not an after-the-fact check — spanning human evaluation, real user feedback, reward and alignment signals, and data science rigor across iOS, iPadOS, macOS, watchOS, and visionOS. This is a rare opportunity to work at the intersection of software engineering and rigorous evaluation science — applying machine learning engineering techniques, from model evaluation to reward modeling, to build the infrastructure that keeps this quality signal trustworthy....

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