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• Machine Learning Engineer - Health AIML

  Apprentissage automatique et intelligence artificielle09 sept. 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 artificielle09 sept. 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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• Machine Learning Researcher Multi-Modal Reasoning

  Apprentissage automatique et intelligence artificielle04 sept. 2026

  LieuCupertino

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  • PartagerMachine Learning Researcher Multi-Modal Reasoning 200682033-0836

  • Numéro de rôle :  200682033-0836
  • Heures hebdomadaires : 40 Heures

  Do you believe generative models can transform creative workflows and smart assistants used by billions? Do you believe it can fundamentally shift how people interact with devices and communicate, personalizing and tailoring experiences to their unique needs? SIML’s Content Understanding teams strives to turn cutting edge research into compelling user experiences that realize all these goals and more, working on Apple Intelligence technologies such as Image Playground, Genmoji, Generative Memories, Semantic Search, and many more. You will be working alonside teams that are in charge of o...

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• Machine Learning Researcher Multi-Modal Reasoning

  Apprentissage automatique et intelligence artificielle04 sept. 2026

  LieuSeattle

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  • PartagerMachine Learning Researcher Multi-Modal Reasoning 200682033-3337

  • Numéro de rôle :  200682033-3337
  • Heures hebdomadaires : 40 Heures

  Do you believe generative models can transform creative workflows and smart assistants used by billions? Do you believe it can fundamentally shift how people interact with devices and communicate, personalizing and tailoring experiences to their unique needs? SIML’s Content Understanding teams strives to turn cutting edge research into compelling user experiences that realize all these goals and more, working on Apple Intelligence technologies such as Image Playground, Genmoji, Generative Memories, Semantic Search, and many more. You will be working alonside teams that are in charge of o...

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• Machine Learning Manager, Data for Foundation Models - SIML

  Apprentissage automatique et intelligence artificielle03 sept. 2026

  LieuCupertino

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  • PartagerMachine Learning Manager, Data for Foundation Models - SIML 200667330-0836

  • Numéro de rôle :  200667330-0836
  • 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 optimiza...

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• Machine Learning Systems Engineer – Video Computer Vision

  Apprentissage automatique et intelligence artificielle03 sept. 2026

  LieuSunnyvale

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  • PartagerMachine Learning Systems Engineer – Video Computer Vision 200681077-3956

  • Numéro de rôle :  200681077-3956
  • Heures hebdomadaires : 40 Heures

  The incredible potential of multimodal foundation models and large language models has unlocked machine learning applications that were previously thought infeasible. The Video Computer Vision (VCV) group is looking for a highly motivated and skilled Machine Learning Systems Engineer to help us ship cutting-edge computer vision technology on Apple devices. The VCV organization has pioneered groundbreaking features like FaceID/FaceKit, Gaze/Hand Gesture Control, Body Tracking, and 2D/3D Scene Understanding fundamentally changing how millions of users interact with technology. We seamlessl...

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• Machine Learning Systems Engineer – Video Computer Vision

  Apprentissage automatique et intelligence artificielle01 sept. 2026

  LieuSunnyvale

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  • PartagerMachine Learning Systems Engineer – Video Computer Vision 200681055-3956

  • Numéro de rôle :  200681055-3956
  • Heures hebdomadaires : 40 Heures

  The incredible potential of multimodal foundation models and large language models has unlocked machine learning applications that were previously thought infeasible. The Video Computer Vision (VCV) group is looking for a highly motivated and skilled Machine Learning Systems Engineer to help us ship cutting-edge computer vision technology on Apple devices. The VCV organization has pioneered groundbreaking features like FaceID/FaceKit, Gaze/Hand Gesture Control, Body Tracking, and 2D/3D Scene Understanding fundamentally changing how millions of users interact with technology. We seamlessly ...

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• Machine Learning Engineer

  Apprentissage automatique et intelligence artificielle26 août 2026

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  • PartagerMachine Learning 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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• AI/ML Software Engineer

  Apprentissage automatique et intelligence artificielle11 août 2026

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  • PartagerAI/ML Software Engineer 200676774-3956

  • Numéro de rôle :  200676774-3956
  • Heures hebdomadaires : 40 Heures

  The Video Computer Vision organization is working on exciting technologies for future Apple products. Our team delivers computer vision and machine learning algorithms that power many Apple technologies like human understanding and human intelligence algorithms with applications for digital humans, health and AI. In this role, you will work closely with our team of experts in computer graphics, computer vision and machine learning to design and build solutions to previously unsolved challenges for Apple products and bring high impact to millions of users.

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• Multimodal AI Researcher

  Apprentissage automatique et intelligence artificielle11 août 2026

  LieuSunnyvale

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  • PartagerMultimodal AI Researcher 200676775-3956

  • Numéro de rôle :  200676775-3956
  • Heures hebdomadaires : 40 Heures

  The Video Computer Vision organization is working on breakthrough technologies for future Apple products. Our team delivers cutting-edge AI, machine learning, computer vision and graphics algorithms that power technologies including human understanding, perception, digital humans, multimodal generative AI, and agents. Our algorithms ship across a range of Apple products, including iPhone and Apple Vision Pro, where our work has contributed to technologies like Personalized Spatial Audio, EyeSight, and Persona as well as future Apple products. We are an applied research group, we push the st...

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• Applied Researcher: On-Device Multimodal Reasoning

  Apprentissage automatique et intelligence artificielle05 août 2026

  LieuSunnyvale

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  • PartagerApplied Researcher: On-Device Multimodal Reasoning 200676219-3956

  • Numéro de rôle :  200676219-3956
  • Heures hebdomadaires : 40 Heures

  The Video Computer Vision (VCV) organization is an applied research and engineering team developing real-time, on-device Computer Vision and Machine Perception technologies across Apple products. Within VCV, our team builds next-generation multimodal AI systems that combine on-device multimodal encoders, large language models, and foundation models to create intelligent systems capable of understanding, reasoning, and acting across language, vision, audio, and tools. Our work is deeply integrated into the Apple ecosystem, partnering across hardware, software, and ML teams to deliver real-ti...

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• Research Manager, Multimodal Reasoning - SIML

  Apprentissage automatique et intelligence artificielle30 juil. 2026

  LieuCupertino

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  • PartagerResearch Manager, Multimodal Reasoning - SIML 200657558-0836

  • Numéro de rôle :  200657558-0836
  • Heures hebdomadaires : 40 Heures

  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

  Apprentissage automatique et intelligence artificielle30 juil. 2026

  LieuSeattle

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  • PartagerResearch Manager, Multimodal Reasoning - SIML 200657558-3337

  • Numéro de rôle :  200657558-3337
  • Heures hebdomadaires : 40 Heures

  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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• Sr Data Engineer, AIML

  Apprentissage automatique et intelligence artificielle29 juil. 2026

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  • PartagerSr Data Engineer, AIML 200660581-0836

  • Numéro de rôle :  200660581-0836
  • Heures hebdomadaires : 40 Heures

  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 Senior Data Engineer to build world-class data infrastructure and solutions that are used by data scientists, ML engineers and researchers to power Apple Foundation Mod...

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• Research Scientist/Engineer - Agentic Workflows

  Apprentissage automatique et intelligence artificielle28 juil. 2026

  LieuSanta Clara

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  • PartagerResearch Scientist/Engineer - Agentic Workflows 200631338-3760

  • Numéro de rôle :  200631338-3760
  • Heures hebdomadaires : 40 Heures

  We're seeking research scientists and engineers to create breakthrough innovations in language models, machine learning, reinforcement learning, computer vision, robotics, and related areas. We are particularly interested in frontier models (including large multimodal models) and agentic workflows. You will work in an organization of world-class machine learning researchers and engineers. Our work powers cutting-edge technologies across the Apple ecosystem and is published in the most selective scientific journals and conferences.

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• Research Scientist/Engineer - Agentic Workflows

  Apprentissage automatique et intelligence artificielle28 juil. 2026

  LieuSeattle

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  • PartagerResearch Scientist/Engineer - Agentic Workflows 200631338-3337

  • Numéro de rôle :  200631338-3337
  • Heures hebdomadaires : 40 Heures

  We're seeking research scientists and engineers to create breakthrough innovations in language models, machine learning, reinforcement learning, computer vision, robotics, and related areas. We are particularly interested in frontier models (including large multimodal models) and agentic workflows. You will work in an organization of world-class machine learning researchers and engineers. Our work powers cutting-edge technologies across the Apple ecosystem and is published in the most selective scientific journals and conferences.

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• Senior Machine Learning Software Engineer - Computer Vision

  Apprentissage automatique et intelligence artificielle28 juil. 2026

  LieuSunnyvale

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  • PartagerSenior Machine Learning Software Engineer - Computer Vision 200674465-3956

  • Numéro de rôle :  200674465-3956
  • Heures hebdomadaires : 40 Heures

  Apple is where individual imaginations converge, united by values that drive exceptional innovation. Every product we develop and service we deliver emerges from our collective commitment to strengthening each other's ideas. This collaborative spirit stems from a shared conviction that we can create something extraordinary and deliver it to the world, transforming lives for the better. The diversity of our people and their perspectives fuels the innovation that permeates everything we accomplish. When we embrace everyone's contributions, we achieve our finest work. Here, you will not simply...

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• Research Scientist/Engineer - LLM Efficiency

  Apprentissage automatique et intelligence artificielle28 juil. 2026

  LieuSanta Clara

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  • PartagerResearch Scientist/Engineer - LLM Efficiency 200631342-3760

  • Numéro de rôle :  200631342-3760
  • Heures hebdomadaires : 40 Heures

  We're seeking research scientists and engineers to create breakthrough innovations in machine learning. We are particularly interested in efficiency of frontier models, including LLMs and diffusion models. You will work in an organization of world-class machine learning researchers and engineers. Our work powers cutting-edge technologies across the Apple ecosystem and is published in the most selective scientific journals and conferences.

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• Research Scientist/ Engineer - Photorealism

  Apprentissage automatique et intelligence artificielle28 juil. 2026

  LieuSanta Clara

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  • PartagerResearch Scientist/ Engineer - Photorealism 200631299-3760

  • Numéro de rôle :  200631299-3760
  • Heures hebdomadaires : 40 Heures

  We're seeking research scientists/engineers to create breakthrough innovations in machine learning, computer vision, computer graphics, and related areas. We are particularly interested in image and video synthesis, 3D reconstruction, and neural rendering. You will work directly with an organization of world-class machine learning researchers and engineers. Our work powers cutting-edge technologies across the Apple ecosystem and is published in the most selective scientific journals and conferences.

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• AI Research Scientist: Multimodal Foundation Models - Architecture, Pre-Training & Distillation

  Apprentissage automatique et intelligence artificielle27 juil. 2026

  LieuSeattle

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  • PartagerAI Research Scientist: Multimodal Foundation Models - Architecture, Pre-Training & Distillation 200674439-3337

  • Numéro de rôle :  200674439-3337
  • Heures hebdomadaires : 40 Heures

  The Multimodal Intelligence Team is building the next generation of foundation models for Apple experiences. We are looking for a research scientist to advance the architectures, pre-training methods, and distillation techniques that make highly capable multimodal models practical across the Apple ecosystem. Our research spans the full foundation-model lifecycle: model architecture, pre-training objectives, data mixtures, optimization, scaling, distillation, and evaluation. A defining challenge of our work is to develop models that combine broad intelligence with the memory, latency, energ...

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