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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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• Data Scientist, Apple Pay

  Machine Learning and AISep 11, 2026

  LocationCupertino

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  • ShareData Scientist, Apple Pay 200683123-0836

  • Role Number:  200683123-0836
  • 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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• Machine Learning Research Engineer, ASE Search

  Machine Learning and AISep 11, 2026

  LocationCupertino

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  • ShareMachine Learning Research Engineer, ASE Search 200679268-0836

  • Role Number:  200679268-0836
  • Weekly Hours: 40 Hours

  The Apple Services Engineering (ASE) team is one of the most exciting examples of Apple's long-held passion for combining art and technology. People here create the experiences loved by users across App Store, Apple TV, Apple Music, Apple Podcasts, Apple Books, and Apple Fitness. The scale is massive, delivering content and entertainment in over 35 languages to more than 150 countries, while meeting Apple's high bar for quality and performance. The team is responsible for building secure, robust, end-to-end solutions across server and client to solve challenging problems. Thanks to Apple'...

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• Machine Learning Research Engineer, ASE Search

  Machine Learning and AISep 11, 2026

  LocationSeattle

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  • ShareMachine Learning Research Engineer, ASE Search 200679268-3337

  • Role Number:  200679268-3337
  • Weekly Hours: 40 Hours

  The Apple Services Engineering (ASE) team is one of the most exciting examples of Apple's long-held passion for combining art and technology. People here create the experiences loved by users across App Store, Apple TV, Apple Music, Apple Podcasts, Apple Books, and Apple Fitness. The scale is massive, delivering content and entertainment in over 35 languages to more than 150 countries, while meeting Apple's high bar for quality and performance. The team is responsible for building secure, robust, end-to-end solutions across server and client to solve challenging problems. Thanks to Apple'...

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• ML Infrastructure Engineer - ML Compute Capacity

  Machine Learning and AISep 11, 2026

  LocationSanta Clara

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  • ShareML Infrastructure Engineer - ML Compute Capacity 200681765-3760

  • Role Number:  200681765-3760
  • Weekly Hours: 40 Hours

  Scaling machine learning workloads across thousands of accelerators creates challenges that few engineers ever encounter. In Apple’s Machine Learning Platform Technologies organization, we build the infrastructure that powers large-scale ML training and inference workloads, bringing together expertise in distributed systems, machine learning infrastructure, and high-performance computing.

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• Senior Machine Learning Engineer, Apple Wallet

  Machine Learning and AISep 11, 2026

  LocationCupertino

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  • ShareSenior Machine Learning Engineer, Apple Wallet 200683100-0836

  • Role Number:  200683100-0836
  • Weekly Hours: 40 Hours

  Join a dynamic AI and Machine Learning team focused on protecting millions of users from fraud and securing their identity every day. We operate at the intersection of cutting-edge research and production systems, collaborating across Apple—from other ML teams to Operations to Engineering—with strong leadership support and investment in our mission-critical work. We value continuous learning, intellectual curiosity, and commitment to excellence while maintaining focus on user privacy and security.

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• Machine Learning Engineer

  Machine Learning and AISep 11, 2026

  LocationCupertino

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  • ShareMachine Learning Engineer 200683023-0836

  • Role Number:  200683023-0836
  • Weekly Hours: 40 Hours

  At Apple, individual creativity converges around shared values that drive innovation. Our products emerge from collaborative teams strengthening each other's ideas, fueled by diverse perspectives and a belief we can transform lives. Ready to make an impact?

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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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• Machine Learning Engineer - Video Generation Models

  Machine Learning and AISep 10, 2026

  LocationVarious Locations within San Diego Metro Area

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  • ShareMachine Learning Engineer - Video Generation Models 200682734

  • Role Number:  200682734
  • Weekly Hours: 40 Hours

  We are hiring a machine learning engineer with deep, hands-on experience training large generative models to help build our video generation models. You will work across pre-training, fine-tuning, and inference optimization, from designing the training recipe and running large distributed training jobs through making the resulting models efficient to run. As a member of the team, you will develop fundamental model capabilities and collaborate with engineers and researchers across Apple to advance our products.

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• Machine Learning Engineer - Video Generation Models

  Machine Learning and AISep 10, 2026

  LocationVarious Locations within San Francisco Bay Area

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  • ShareMachine Learning Engineer - Video Generation Models 200682734-3401

  • Role Number:  200682734-3401
  • Weekly Hours: 40 Hours

  We are hiring a machine learning engineer with deep, hands-on experience training large generative models to help build our video generation models. You will work across pre-training, fine-tuning, and inference optimization, from designing the training recipe and running large distributed training jobs through making the resulting models efficient to run. As a member of the team, you will develop fundamental model capabilities and collaborate with engineers and researchers across Apple to advance our products.

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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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• Machine Learning Engineer - Health AIML

  Machine Learning and AISep 09, 2026

  LocationCambridge

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  • ShareMachine Learning Engineer - Health AIML 200659977-1242

  • Role Number:  200659977-1242
  • 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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• Machine Learning Engineer - Health AIML

  Machine Learning and AISep 09, 2026

  LocationCupertino

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  • ShareMachine Learning Engineer - Health AIML 200659977-0836

  • Role Number:  200659977-0836
  • 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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