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• AIML - ML Researcher, Responsible AI

  Machine Learning and AI05 Jun 2026

  LocationSeattle

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  • ShareAIML - ML Researcher, Responsible AI 200667081-3337

  • Role Number:  200667081-3337
  • Weekly Hours: 40 Hours

  Join us as we build world-class groundbreaking products for our customers! Apple's Data and ML Innovation team focuses on innovative technologies, methodologies, and research to enable fantastic user experiences and advance the frontier of machine learning. Our team is looking to hire a tech lead with a strong track record in Applied Research who is passionate about ML and Human-Computer Interaction - mainly as applied to the responsibility, fairness, and safety of Generative AI. In this role, you will lead research methods focused on enabling ML technologies that power breakthrough user ...

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• AIML - ML Researcher, Responsible AI

  Machine Learning and AI05 Jun 2026

  LocationPittsburgh

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  • ShareAIML - ML Researcher, Responsible AI 200667081-2926

  • Role Number:  200667081-2926
  • Weekly Hours: 40 Hours

  Join us as we build world-class groundbreaking products for our customers! Apple's Data and ML Innovation team focuses on innovative technologies, methodologies, and research to enable fantastic user experiences and advance the frontier of machine learning. Our team is looking to hire a tech lead with a strong track record in Applied Research who is passionate about ML and Human-Computer Interaction - mainly as applied to the responsibility, fairness, and safety of Generative AI. In this role, you will lead research methods focused on enabling ML technologies that power breakthrough user ...

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• AIML - ML Researcher, Responsible AI

  Machine Learning and AI05 Jun 2026

  LocationCupertino

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  • ShareAIML - ML Researcher, Responsible AI 200667081-0836

  • Role Number:  200667081-0836
  • Weekly Hours: 40 Hours

  Join us as we build world-class groundbreaking products for our customers! Apple's Data and ML Innovation team focuses on innovative technologies, methodologies, and research to enable fantastic user experiences and advance the frontier of machine learning. Our team is looking to hire a tech lead with a strong track record in Applied Research who is passionate about ML and Human-Computer Interaction - mainly as applied to the responsibility, fairness, and safety of Generative AI. In this role, you will lead research methods focused on enabling ML technologies that power breakthrough user ...

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• Senior Machine Learning Research Engineer, NLP, Input Experience

  Machine Learning and AI05 Jun 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 Jun 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 Jun 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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• Software Engineer in Natural Language Processing (NLP) and Machine Learning (ML)

  Machine Learning and AI04 Jun 2026

  LocationCupertino

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  • ShareSoftware Engineer in Natural Language Processing (NLP) and Machine Learning (ML) 200666537-0836

  • Role Number:  200666537-0836
  • Weekly Hours: 40 Hours

  Are you interested in building amazing Generative AI experiences that will touch the lives of billions of people by utilizing state-of-the-art NLP and machine learning? Do you enjoy collaboration and team work to accomplish innovative ML driven user experiences? We are looking for a Software Engineer who is passionate about translating expertise in NLP and ML into impactful applications for users. The role allows you to be a highly multi-functional engineer with plenty of opportunities to collaborate cross-functionally and get high visibility for your work. Our team is responsible for ...

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• Software Engineer in Natural Language Processing (NLP) and Machine Learning (ML)

  Machine Learning and AI04 Jun 2026

  LocationSeattle

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  • ShareSoftware Engineer in Natural Language Processing (NLP) and Machine Learning (ML) 200666537-3337

  • Role Number:  200666537-3337
  • Weekly Hours: 40 Hours

  Are you interested in building amazing Generative AI experiences that will touch the lives of billions of people by utilizing state-of-the-art NLP and machine learning? Do you enjoy collaboration and team work to accomplish innovative ML driven user experiences? We are looking for a Software Engineer who is passionate about translating expertise in NLP and ML into impactful applications for users. The role allows you to be a highly multi-functional engineer with plenty of opportunities to collaborate cross-functionally and get high visibility for your work. Our team is responsible for ...

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• Machine Learning Research Engineer , Text Generation, Input Experience

  Machine Learning and AI04 Jun 2026

  LocationSeattle

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  • ShareMachine Learning Research Engineer , Text Generation, Input Experience 200666539-3337

  • Role Number:  200666539-3337
  • 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, what we deliver is the result of us making each other’s ideas stronger. 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 — you’ll add something. Text generation is a key enabler for accelerated text input and intelligent interaction on Apple platforms. Our team is ...

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• AIML - ML Engineer, Responsible AI

  Machine Learning and AI03 Jun 2026

  LocationSeattle

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  • ShareAIML - ML Engineer, Responsible AI 200642026-3337

  • Role Number:  200642026-3337
  • Weekly Hours: 40 Hours

  Would you like to play a part in building the next generation of generative AI applications at Apple? We're looking for scientists and engineers to work on ambitious projects that will impact the future of Apple, our products, and the broader world. In this role, you'll have the opportunity to tackle innovative problems in machine learning, particularly focused on generative AI. As a member of the Apple HCMI group, you will be working on Apple's generative models that will power a wide array of new features. Our team is currently working on large generative models for vision and language...

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

  Machine Learning and AI01 Jun 2026

  LocationCupertino

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  • ShareAIML - Sr Machine Learning Engineer - Data and ML Innovation 200666135-0836

  • Role Number:  200666135-0836
  • Weekly Hours: 40 Hours

  Would you like to be a part of Apple’s AI and Machine Learning org, where we encourage and create groundbreaking technology for multi-modal models with strong agent and reasoning capabilities? The Data and Machine Learning Innovation (DMLI) team is seeking a passionate Machine Learning Engineer to explore new methods, challenge existing metrics and protocols, and develop new insightful practices for real-world ML challenges. As a team member, you will work on some of the most ambitious technical challenges in the field. Your role will involve collaborating closely with our team of machine l...

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

  Machine Learning and AI01 Jun 2026

  LocationSeattle

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  • ShareAIML - Sr Machine Learning Engineer - Data and ML Innovation 200666135-3337

  • Role Number:  200666135-3337
  • Weekly Hours: 40 Hours

  Would you like to be a part of Apple’s AI and Machine Learning org, where we encourage and create groundbreaking technology for multi-modal models with strong agent and reasoning capabilities? The Data and Machine Learning Innovation (DMLI) team is seeking a passionate Machine Learning Engineer to explore new methods, challenge existing metrics and protocols, and develop new insightful practices for real-world ML challenges. As a team member, you will work on some of the most ambitious technical challenges in the field. Your role will involve collaborating closely with our team of machine l...

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• Machine Learning Researcher - Apple Music - Recommender Systems

  Machine Learning and AI30 May 2026

  LocationLondon

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  • ShareMachine Learning Researcher - Apple Music - Recommender Systems 200665642-2114

  • Role Number:  200665642-2114
  • Weekly Hours: 35 Hours

  Join the team that helps all Apple Music users discover music they will love. We are behind some of the most popular features in Apple Music, including the Home and New tabs, Discovery Station and Playlist Playground. Music is our passion, and our aim is to connect artists with music fans. Two people are always on our minds: the listener trying to find their next favourite, and the artist trying to be found. Our team members come from 10 countries, creating a diverse, open-minded environment in which we help each other do amazing work and grow. Here at Apple, innovation never stops. Brin...

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• Evaluation Reliability SRE

  Machine Learning and AI29 May 2026

  LocationCupertino

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  • ShareEvaluation Reliability SRE 200665852-0836

  • Role Number:  200665852-0836
  • Weekly Hours: 40 Hours

  Siri’s quality signal drives every model and product decision before a release ships. But a signal is only as trustworthy as the infrastructure behind it. The Evaluation Reliability Engineering (ERE) team exists to make that infrastructure bulletproof. Within ERE, Core SRE owns the production backbone: resource management, session orchestration, on-call response, and the observability systems that surface failures before they corrupt evaluation signal. We sit at the intersection of distributed systems, ML evaluation infrastructure, and operational excellence.

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• Principal Audio Engineer, Production Studio, Siri Speech

  Machine Learning and AI23 May 2026

  LocationVarious locations within Los Angeles Metro Area

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  • SharePrincipal Audio Engineer, Production Studio, Siri Speech 200664991-1756

  • Role Number:  200664991-1756
  • Weekly Hours: 40 Hours

  The voice of Siri is heard by hundreds of millions of people every day. Behind it is a production infrastructure of remarkable complexity, spanning recording projects on multiple continents, automated pipelines, and massive multilingual datasets that feed state-of-the-art models. The Siri Speech team is looking for a Principal Audio Engineer to own that infrastructure, set the technical standard, and keep pushing it forward.

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• Sr. Software Engineer - Data, Siri Speech

  Machine Learning and AI22 May 2026

  LocationCambridge

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  • ShareSr. Software Engineer - Data, Siri Speech 200651524-1242

  • Role Number:  200651524-1242
  • Weekly Hours: 40 Hours

  Want to join the team pushing the boundaries of AI and building an intelligent assistant that helps millions of people get things done? Join the Siri team at Apple. To build the best speech recognition and generation models, we need to use the latest technology in distributed training and the best available data. We combine those needs into one team and are focused on blurring the lines between traditional “data processing” and “model training”. Efficiently training on petabytes of audio data pushes us to consider the entire training stack while developing new models to extract useful signa...

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• Sr. Software Engineer - Data, Siri Speech

  Machine Learning and AI22 May 2026

  LocationCupertino

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  • ShareSr. Software Engineer - Data, Siri Speech 200651524-0836

  • Role Number:  200651524-0836
  • Weekly Hours: 40 Hours

  Want to join the team pushing the boundaries of AI and building an intelligent assistant that helps millions of people get things done? Join the Siri team at Apple. To build the best speech recognition and generation models, we need to use the latest technology in distributed training and the best available data. We combine those needs into one team and are focused on blurring the lines between traditional “data processing” and “model training”. Efficiently training on petabytes of audio data pushes us to consider the entire training stack while developing new models to extract useful signa...

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• Internationalization Engineering Manager - Intelligence Features

  Machine Learning and AI22 May 2026

  LocationCupertino

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  • ShareInternationalization Engineering Manager - Intelligence Features 200664938-0836

  • Role Number:  200664938-0836
  • Weekly Hours: 40 Hours

  The International Intelligence Engineering team powers the tooling, features and processes used to create an exceptional international experience across Apple’s intelligence features for 100s of millions of our global customers and devices. We are looking for an experienced, motivated, and highly technical manager to lead the ML engineering team that delivers the next generation of end-user intelligence features for international locales across multiple platforms (iOS, macOS, watchOS, etc). You will be a creative, motivated, leader with excellent communication skills who is passionate abo...

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• AIML - Data Operations Annotation Team Lead (Hyderabad)

  Machine Learning and AI22 May 2026

  LocationHyderabad

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  • ShareAIML - Data Operations Annotation Team Lead (Hyderabad) 200652024-1052

  • Role Number:  200652024-1052
  • 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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• Software Engineer, Agentic Evaluation

  Machine Learning and AI21 May 2026

  LocationCupertino

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  • ShareSoftware Engineer, Agentic Evaluation 200664500-0836

  • Role Number:  200664500-0836
  • Weekly Hours: 40 Hours

  We're a team at Apple building software that helps shape the next generation of Siri and AI-powered experiences. The work spans frameworks, tooling, and infrastructure — including a strong focus on how we evaluate and measure the quality of what we ship. We can't say much about specifics, but the problems are new, the surface area is large, and the reach is enormous. We're a collaborative, humble, and curious group that learns from each other and builds together.

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