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• Machine Learning Engineer - Health AIML

  Apprentissage automatique et intelligence artificielle11 août 2026

  LieuSeattle

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  • PartagerMachine Learning Engineer - Health AIML 200677421-3337

  • Numéro de rôle :  200677421-3337
  • 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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• Staff Applied Scientist, UI Control Models

  Apprentissage automatique et intelligence artificielle11 août 2026

  LieuCupertino

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  • PartagerStaff Applied Scientist, UI Control Models 200674216-0836

  • Numéro de rôle :  200674216-0836
  • Heures hebdomadaires : 40 Heures

  Join us at the forefront of redefining how people interact with their devices. On the Siri team we’re solving the challenge of building and shipping powerful LLMs that shape the way millions of Apple customers get things done every day. As a Staff Applied Scientist, you will craft the future of UI Control by developing powerful yet compact LLMs that bring personalized, private, and low-latency experiences to users. This is a high-impact role for a hands-on applied scientist who thrives at the intersection of cutting-edge AI development and product delivery.

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• Generative AI Applied Scientist, SIML - ISE

  Apprentissage automatique et intelligence artificielle07 août 2026

  LieuCupertino

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  • PartagerGenerative AI Applied Scientist, SIML - ISE 200676664-0836

  • Numéro de rôle :  200676664-0836
  • Heures hebdomadaires : 40 Heures

  Generative AI Applied Scientist, SIML - ISE Summary Apple's System Intelligence and Machine Learning (SIML) team is seeking a senior Generative AI expert to pioneer the next generation of human-centric device interaction and multimodal scene understanding. You will be at the core of our efforts to develop multimodal LLMs that can perceive and understand complex scenes and nuanced human interactions, behaviors, and preferences. This is a unique opportunity to join a leading applied research group known for its foundational contributions to Apple Intelligence, where you will focus on the end...

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• Engineering Manager, Machine Learning & NLP, Input Experience

  Apprentissage automatique et intelligence artificielle07 août 2026

  LieuCupertino

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  • PartagerEngineering Manager, Machine Learning & NLP, Input Experience 200671833-0836

  • Numéro de rôle :  200671833-0836
  • Heures hebdomadaires : 40 Heures

  From our origins in iPhone keyboard input, the Input Experience NLP team has expanded our broad charter: enhancing the user experience with robust language understanding and personalized text composition, across all Apple platforms and languages. Generative AI is a transformative technology, and we are just beginning to harness its potential to help users digest information and express themselves more clearly. On our team, you will help build the future and shape its evolution. Our team is responsible for key Apple Intelligence portfolios such as personalized Writing Tools, Summarization (M...

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• Machine Learning Engineer

  Apprentissage automatique et intelligence artificielle06 août 2026

  LieuPittsburgh

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  • PartagerMachine Learning Engineer 200676456-2926

  • Numéro de rôle :  200676456-2926
  • Heures hebdomadaires : 40 Heures

  As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you’ll have the opportunity to be part of a leading ML innovation organization that develops a wide range of impactful Apple features. Within MIND, you’ll engage in cutting-edge research in fields such as Foundation Models and Perception, and collaborate to create end products that have high impact on Apple users. This role places a strong emphasis on shipping ML-based features and products. You’ll be involved in the entire end-to-end ML development pipeline, which encompasses creative approaches to datase...

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• AIML - Applied AI Scientist, Image Autograder Systems, Evaluation

  Apprentissage automatique et intelligence artificielle06 août 2026

  LieuCupertino

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  • PartagerAIML - Applied AI Scientist, Image Autograder Systems, Evaluation 200671795-0836

  • Numéro de rôle :  200671795-0836
  • Heures hebdomadaires : 40 Heures

  We are looking for an AI Scientist to join a centralized evaluation organization building the next generation of autograders across Apple's most visible image generation AI features. In this role, you will develop autograders that reliably score image output quality at scale. Your work directly influences the quality of AI experiences used by hundreds of millions of Apple customers. This is a high-impact individual contributor role at the intersection of genAI evaluation, genAI model training, data quality, and AI engineering. You will work closely with senior AI scientists, MLEs, data ...

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• Machine Learning Engineer - Health AIML

  Apprentissage automatique et intelligence artificielle05 août 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 artificielle05 août 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 Engineer - Health AIML

  Apprentissage automatique et intelligence artificielle05 août 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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• Tactile Simulation Research Engineer - Special Projects (Robotics)

  Apprentissage automatique et intelligence artificielle04 août 2026

  LieuSanta Clara

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  • PartagerTactile Simulation Research Engineer - Special Projects (Robotics) 200675548-3760

  • Numéro de rôle :  200675548-3760
  • 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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• Tactile AI Research Engineer - Special Projects (Robotics)

  Apprentissage automatique et intelligence artificielle04 août 2026

  LieuSanta Clara

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  • PartagerTactile AI Research Engineer - Special Projects (Robotics) 200675551-3760

  • Numéro de rôle :  200675551-3760
  • 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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• AIML - ML Engineer, Responsible AI and Safety

  Apprentissage automatique et intelligence artificielle30 juil. 2026

  LieuCupertino

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  • PartagerAIML - ML Engineer, Responsible AI and Safety 200674976-0836

  • Numéro de rôle :  200674976-0836
  • Heures hebdomadaires : 40 Heures

  Join a team at the forefront of defending Apple's ecosystem. We build the large-scale machine learning systems that protect millions of users from emerging threats and ensure the integrity of our products. We are looking for an experienced Applied ML Engineer who has a proven track record of shipping production models. The ideal candidate is passionate about tackling complex safety and security challenges using state-of-the-art techniques. In this role, you will design, build, and deploy the critical machine learning systems that are foundational to the safety of Apple's products, all whil...

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• AIML - Senior ML Research Engineer, AFM Safety

  Apprentissage automatique et intelligence artificielle29 juil. 2026

  LieuCupertino

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  • PartagerAIML - Senior ML Research Engineer, AFM Safety 200674892-0836

  • Numéro de rôle :  200674892-0836
  • Heures hebdomadaires : 40 Heures

  Join us as we build safe and reliable foundation models for Apple's products. Our team focuses on the research and methods needed to make large language models safe, fair, and robust at scale, with a current focus on agentic safety, model character and persona, and multimodal safety across audio and vision. We are looking for a researcher with a strong track record in applied ML who cares about safety and responsibility in foundation models. In this role, you will lead research and application of methods that keep Apple's foundation models safe while meeting Apple's standards for privacy an...

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• AIML - Senior ML Research Engineer, AFM Safety

  Apprentissage automatique et intelligence artificielle29 juil. 2026

  LieuSeattle

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  • PartagerAIML - Senior ML Research Engineer, AFM Safety 200674892-3337

  • Numéro de rôle :  200674892-3337
  • Heures hebdomadaires : 40 Heures

  Join us as we build safe and reliable foundation models for Apple's products. Our team focuses on the research and methods needed to make large language models safe, fair, and robust at scale, with a current focus on agentic safety, model character and persona, and multimodal safety across audio and vision. We are looking for a researcher with a strong track record in applied ML who cares about safety and responsibility in foundation models. In this role, you will lead research and application of methods that keep Apple's foundation models safe while meeting Apple's standards for privacy an...

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• Machine Learning/Operations Research Engineer

  Apprentissage automatique et intelligence artificielle29 juil. 2026

  LieuCupertino

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  • PartagerMachine Learning/Operations Research Engineer 200674885-0836

  • Numéro de rôle :  200674885-0836
  • Heures hebdomadaires : 40 Heures

  Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The people here at Apple don’t just create products — they create the kind of wonder that’s 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 ...

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• AIML - ML Prototyping Engineer, Machine Learning Research

  Apprentissage automatique et intelligence artificielle28 juil. 2026

  LieuCupertino

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  • PartagerAIML - ML Prototyping Engineer, Machine Learning Research 200674581-0836

  • Numéro de rôle :  200674581-0836
  • Heures hebdomadaires : 40 Heures

  The Machine Learning Research Prototyping team sits at the intersection of cutting-edge research and real-world impact. We serve as the bridge between groundbreaking AI and ML discoveries and the innovative products that define tomorrow's user experiences. Our nimble, collaborative team transforms theoretical breakthroughs into tangible prototypes that help Apple understand where AI could go next, and help the broader ML community build on Apple research. We're a small team of engineers who blend ML expertise, product intuition, and design sensibility. We learn by building—our prototypes r...

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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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• AIML - Machine Learning Researcher, MLR

  Apprentissage automatique et intelligence artificielle28 juil. 2026

  LieuCupertino

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  • PartagerAIML - Machine Learning Researcher, MLR 200608388-0836

  • Numéro de rôle :  200608388-0836
  • Heures hebdomadaires : 40 Heures

  Play a part in building the next revolution in machine learning technology. We’re looking for passionate researchers to work on ambitious, curiosity-driven, long-term research projects. 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 in high-quality scientific venues.

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• AIML - Machine Learning Researcher, MLR

  Apprentissage automatique et intelligence artificielle28 juil. 2026

  LieuSeattle

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  • PartagerAIML - Machine Learning Researcher, MLR 200608388-3337

  • Numéro de rôle :  200608388-3337
  • Heures hebdomadaires : 40 Heures

  Play a part in building the next revolution in machine learning technology. We’re looking for passionate researchers to work on ambitious, curiosity-driven, long-term research projects. 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 in high-quality scientific venues.

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