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• Senior Machine Learning Engineer, Proactive

  Machine Learning and AISep 14, 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 AISep 11, 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 AISep 11, 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 AISep 10, 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 AISep 10, 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 AISep 10, 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 AISep 10, 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 AISep 10, 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 AISep 09, 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 AISep 09, 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 - Software Engineer - AI, Evaluation

  Machine Learning and AISep 08, 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 AISep 08, 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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• Sr. Machine Learning Engineer, Speech LLM Evaluation

  Machine Learning and AISep 08, 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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• AIML - Machine Learning Researcher, Foundation Models

  Machine Learning and AISep 03, 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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• AIML - Machine Learning Researcher, Foundation Models

  Machine Learning and AIAug 31, 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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• AIML - Machine Learning Researcher, Foundation Models

  Machine Learning and AIAug 31, 2026

  LocationNew York City

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  • ShareAIML - Machine Learning Researcher, Foundation Models 200641998-2459

  • Role Number:  200641998-2459
  • 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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• Sr Machine Learning Engineer, Proactive - ML Systems Engineering

  Machine Learning and AIAug 27, 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. Applied Scientist, AI Evaluation & Quality Systems

  Machine Learning and AIAug 26, 2026

  LocationSeattle

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  • ShareSr. Applied Scientist, AI Evaluation & Quality Systems 200679948-3337

  • Role Number:  200679948-3337
  • Weekly Hours: 40 Hours

  Apple Services Engineering (ASE) powers the AI and LLM features behind experiences that hundreds of millions of users love every day. As these systems increasingly rely on human-in-the-loop evaluation, the quality of our products is directly constrained by the quality of our evaluation systems. We believe that to build exceptional AI, you need exceptional mechanisms to validate the signals used to train and evaluate them.

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• AIML Data Operations - L&D Program Manager

  Machine Learning and AIAug 26, 2026

  LocationAustin

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  • ShareAIML Data Operations - L&D Program Manager 200678974-0157

  • Role Number:  200678974-0157
  • Weekly Hours: 40 Hours

  The AIML Data Operations team operates in a fast-paced, dynamic environment. We are looking for an experienced L&D Program Manager who can expertly navigate the demands of this environment, balancing the need for rapid delivery with a commitment to producing high-quality, innovative learning experiences.

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• Sr. Machine Learning Research Engineer, Siri Speech

  Machine Learning and AIAug 20, 2026

  LocationCupertino

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  • ShareSr. Machine Learning Research Engineer, Siri Speech 200648466-0836

  • Role Number:  200648466-0836
  • 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 ...

  Submit Resume