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• UX Software Engineer - Special Projects

  Apprentissage automatique et intelligence artificielle10 juil. 2026

  LieuSanta Clara

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  • PartagerUX Software Engineer - Special Projects 200671913-3760

  • Numéro de rôle :  200671913-3760
  • Heures hebdomadaires : 40 Heures

  We're a small team at Apple betting on what comes next. We believe AI will fundamentally change how people interact with their devices — and we're looking for software engineers who want to build that future. We can't say much about what we're building for our customers. What we can say: the problems are genuinely new and the potential reach is enormous. Beyond the work, we're a collaborative, humble, and curious group that loves learning from each other and building together.

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• Mechatronics Research Engineer - Special Projects (Robotics)

  Apprentissage automatique et intelligence artificielle09 juil. 2026

  LieuSanta Clara

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  • PartagerMechatronics Research Engineer - Special Projects (Robotics) 200671460-3760

  • Numéro de rôle :  200671460-3760
  • Heures hebdomadaires : 40 Heures

  We are seeking research scientists and engineers with strong backgrounds across mechatronics, controls, haptics, robotics, simulation, and machine learning to drive breakthrough innovations in intelligent robotic systems. This position requires a hands-on approach, integrating software and hardware solutions to push the boundaries of perception, control, and intelligence. You will work alongside world-class researchers and engineers, contributing to technologies that power the Apple ecosystem.

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• Senior Tactile Research Engineer - Special Projects (Robotics)

  Apprentissage automatique et intelligence artificielle09 juil. 2026

  LieuSanta Clara

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  • PartagerSenior Tactile Research Engineer - Special Projects (Robotics) 200671454-3760

  • Numéro de rôle :  200671454-3760
  • Heures hebdomadaires : 40 Heures

  We are seeking research scientists and engineers with strong backgrounds across mechatronics, controls, haptics, robotics, simulation, and machine learning to drive breakthrough innovations in intelligent robotic systems. This position requires a hands-on approach, integrating software and hardware solutions to push the boundaries of perception, control, and intelligence. You will work alongside world-class researchers and engineers, contributing to technologies that power the Apple ecosystem.

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• Senior Tactile Embedded Controls Research Engineer - Special Projects (Robotics)

  Apprentissage automatique et intelligence artificielle09 juil. 2026

  LieuSanta Clara

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  • PartagerSenior Tactile Embedded Controls Research Engineer - Special Projects (Robotics) 200671459-3760

  • Numéro de rôle :  200671459-3760
  • Heures hebdomadaires : 40 Heures

  We are seeking research scientists and engineers with strong backgrounds across mechatronics, controls, haptics, robotics, simulation, and machine learning to drive breakthrough innovations in intelligent robotic systems. This position requires a hands-on approach, integrating software and hardware solutions to push the boundaries of perception, control, and intelligence. You will work alongside world-class researchers and engineers, contributing to technologies that power the Apple ecosystem.

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• Machine Learning Engineer, SIML

  Apprentissage automatique et intelligence artificielle06 juil. 2026

  LieuCupertino

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  • PartagerMachine Learning Engineer, SIML 200661302-0836

  • Numéro de rôle :  200661302-0836
  • Heures hebdomadaires : 40 Heures

  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 optimizati...

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• Machine Learning Engineer, SIML

  Apprentissage automatique et intelligence artificielle06 juil. 2026

  LieuSeattle

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  • PartagerMachine Learning Engineer, SIML 200661302-3337

  • Numéro de rôle :  200661302-3337
  • Heures hebdomadaires : 40 Heures

  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 optimizati...

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• Demographic Data Scientist

  Apprentissage automatique et intelligence artificielle06 juil. 2026

  LieuAustin

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  • PartagerDemographic Data Scientist 200670761-0157

  • Numéro de rôle :  200670761-0157
  • Heures hebdomadaires : 40 Heures

  Apple is currently seeking an enthusiastic team player to join a dynamic and collaborative group as a demographic data scientist focusing on human populations using statistics, computer programming, and machine learning within a human factors design team. You’ll have the unique opportunity to contribute to the development and continuing improvement of Apple hardware products by distilling data into actionable and intuitive visualizations from human interaction perspective.

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• AI/ML Evaluation Specialist, Human Data

  Apprentissage automatique et intelligence artificielle02 juil. 2026

  LieuCupertino

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  • PartagerAI/ML Evaluation Specialist, Human Data 200670744-0836

  • Numéro de rôle :  200670744-0836
  • Heures hebdomadaires : 40 Heures

  At Apple, we don’t just build products — we build experiences fueled by world-class data. The Human-centered AI team within Apple Services Engineering is looking for an ML Evaluation Specialist, Human Data to join our Data Quality and Operations division to spearhead complex, multi-stakeholder operations that specialize in data collection, curation, annotation, and human evaluation efforts across Apple Music, App Store, TV+, Podcasts, and Books.

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• Machine Learning Research Scientist - Health AIML

  Apprentissage automatique et intelligence artificielle30 juin 2026

  LieuSeattle

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  • PartagerMachine Learning Research Scientist - Health AIML 200649925-3337

  • Numéro de rôle :  200649925-3337
  • Heures hebdomadaires : 40 Heures

  The Health AIML team is at the forefront of machine learning and health science at Apple. We are a close-knit team of research scientists, software engineers and machine learning engineers passionate about delivering innovative technologies that impact millions of users. We are looking for a Machine Learning Research Scientist with strong dedication to solving real-world problems in health and fitness that enrich our customers' lives.

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• Machine Learning Research Scientist - Health AIML

  Apprentissage automatique et intelligence artificielle30 juin 2026

  LieuSeattle

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  • PartagerMachine Learning Research Scientist - Health AIML 200670570-3337

  • Numéro de rôle :  200670570-3337
  • Heures hebdomadaires : 40 Heures

  The Health AIML team is at the forefront of machine learning and health science at Apple. We are a close-knit team of research scientists, software engineers and machine learning engineers passionate about delivering innovative technologies that impact millions of users. We are looking for a Machine Learning Research Scientist with strong dedication to solving real-world problems in health and fitness that enrich our customers' lives.

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• ML Research Engineer

  Apprentissage automatique et intelligence artificielle29 juin 2026

  LieuCupertino

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  • PartagerML Research Engineer 200670239-0836

  • Numéro de rôle :  200670239-0836
  • Heures hebdomadaires : 40 Heures

  Video is at the core of nearly all Apple products, and as a research engineer on our team, you will build the infrastructure, pipelines, systems, and models that power the next generation of video technology. We are looking for a highly ambitious individual, who will flourish working on technically meaningful problems across the full ML lifecycle — including training infrastructure, performance optimization, data, and production deployment. Your work will redefine the video experience for billions of users.

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• Machine Learning Engineer - Health AIML

  Apprentissage automatique et intelligence artificielle29 juin 2026

  LieuCupertino

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  • PartagerMachine Learning Engineer - Health AIML 200662966-0836

  • Numéro de rôle :  200662966-0836
  • Heures hebdomadaires : 40 Heures

  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

  Apprentissage automatique et intelligence artificielle29 juin 2026

  LieuCambridge

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  • PartagerMachine Learning Engineer - Health AIML 200659977-1242

  • Numéro de rôle :  200659977-1242
  • Heures hebdomadaires : 40 Heures

  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

  Apprentissage automatique et intelligence artificielle29 juin 2026

  LieuCupertino

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  • PartagerMachine Learning Engineer - Health AIML 200659977-0836

  • Numéro de rôle :  200659977-0836
  • Heures hebdomadaires : 40 Heures

  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 - Machine Learning Researcher, MLR

  Apprentissage automatique et intelligence artificielle25 juin 2026

  LieuCupertino

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  • PartagerAIML - Machine Learning Researcher, MLR 200662965-0836

  • Numéro de rôle :  200662965-0836
  • Heures hebdomadaires : 40 Heures

  Play a part in building the next revolution of machine learning technology. We’re looking for passionate mid-level and senior researchers to work on ambitious curiosity driven long-term research projects that will impact the future of Apple, and our products. In this role, you’ll have the opportunity to work on innovative foundational research in 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...

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• AIML - Machine Learning Engineer, Foundation Models

  Apprentissage automatique et intelligence artificielle24 juin 2026

  LieuCupertino

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  • PartagerAIML - Machine Learning Engineer, Foundation Models 200617642-0836

  • Numéro de rôle :  200617642-0836
  • Heures hebdomadaires : 40 Heures

  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 Engineer, Foundation Models

  Apprentissage automatique et intelligence artificielle24 juin 2026

  LieuNew York

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  • PartagerAIML - Machine Learning Engineer, Foundation Models 200617642-2459

  • Numéro de rôle :  200617642-2459
  • Heures hebdomadaires : 40 Heures

  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 Engineer, Foundation Models

  Apprentissage automatique et intelligence artificielle24 juin 2026

  LieuSeattle

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  • PartagerAIML - Machine Learning Engineer, Foundation Models 200617642-3337

  • Numéro de rôle :  200617642-3337
  • Heures hebdomadaires : 40 Heures

  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

  Apprentissage automatique et intelligence artificielle24 juin 2026

  LieuCupertino

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

  • Numéro de rôle :  200641998-0836
  • Heures hebdomadaires : 40 Heures

  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

  Apprentissage automatique et intelligence artificielle24 juin 2026

  LieuNew York

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

  • Numéro de rôle :  200641998-2459
  • Heures hebdomadaires : 40 Heures

  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...

  Envoyer un CV