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• ML Researcher, Apple Foundation Models

  Apprentissage automatique et intelligence artificielle20 mai 2026

  LieuMétropole de New York : plusieurs lieux

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  • PartagerML Researcher, Apple Foundation Models 200664386-2621

  • Numéro de rôle :  200664386-2621
  • 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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• ML Researcher, Apple Foundation Models

  Apprentissage automatique et intelligence artificielle20 mai 2026

  LieuMétropole de San Francisco : plusieurs lieux

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  • PartagerML Researcher, Apple Foundation Models 200664386-3401

  • Numéro de rôle :  200664386-3401
  • 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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• ML Researcher, Apple Foundation Models

  Apprentissage automatique et intelligence artificielle20 mai 2026

  LieuSeattle Metro Area : plusieurs lieux

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  • PartagerML Researcher, Apple Foundation Models 200664386

  • Numéro de rôle :  200664386
  • 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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• Sr. Machine Learning Research Engineer, Siri Speech

  Apprentissage automatique et intelligence artificielle16 mai 2026

  LieuCupertino

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  • PartagerSr. Machine Learning Research Engineer, Siri Speech 200663638-0836

  • Numéro de rôle :  200663638-0836
  • Heures hebdomadaires : 40 Heures

  We are a group of engineers/researchers responsible for advancing Siri Conversational AI at Apple. Our mission is to build cutting-edge infrastructure, datasets, and models that empower Siri with powerful general capabilities across natural language understanding, dialog generation, speech synthesis and recognition, and multi-modal interaction. We apply these technologies to create engaging, intelligent, and personalized conversational experiences for millions of Apple users! We believe that the most impactful breakthroughs in deep learning emerge when we address real-world problems at sca...

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• AIML - Machine Learning Researcher, MLR

  Apprentissage automatique et intelligence artificielle15 mai 2026

  LieuCambridge

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  • PartagerAIML - Machine Learning Researcher, MLR 200660327-1242

  • Numéro de rôle :  200660327-1242
  • 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 result...

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• Senior Machine Learning Engineer, Apple Search & Knowledge Platforms

  Apprentissage automatique et intelligence artificielle14 mai 2026

  LieuSanta Clara

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  • PartagerSenior Machine Learning Engineer, Apple Search & Knowledge Platforms 200641779-3760

  • Numéro de rôle :  200641779-3760
  • Heures hebdomadaires : 40 Heures

  The AI, Search & Knowledge Platforms team builds amazing products and services for Apple's customers while serving as a foundational partner to teams across Apple. The team delivers world-class AI, search, and knowledge systems powering Siri, Apple Intelligence, Safari, and iMessage, and operates the foundational platforms and infrastructure that keep these intelligent experiences running at hyperscale. As part of this group, you will be doing large scale machine learning and deep learning research and development to improve Open Domain Question Answering (using both structured knowledge...

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• Senior Machine Learning Engineer, Apple Search & Knowledge Platforms

  Apprentissage automatique et intelligence artificielle14 mai 2026

  LieuSeattle

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  • PartagerSenior Machine Learning Engineer, Apple Search & Knowledge Platforms 200641779-3337

  • Numéro de rôle :  200641779-3337
  • Heures hebdomadaires : 40 Heures

  The AI, Search & Knowledge Platforms team builds amazing products and services for Apple's customers while serving as a foundational partner to teams across Apple. The team delivers world-class AI, search, and knowledge systems powering Siri, Apple Intelligence, Safari, and iMessage, and operates the foundational platforms and infrastructure that keep these intelligent experiences running at hyperscale. As part of this group, you will be doing large scale machine learning and deep learning research and development to improve Open Domain Question Answering (using both structured knowledge...

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• Machine Learning Architect - Conversational Speech

  Apprentissage automatique et intelligence artificielle13 mai 2026

  LieuCupertino

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  • PartagerMachine Learning Architect - Conversational Speech 200653966-0836

  • Numéro de rôle :  200653966-0836
  • Heures hebdomadaires : 40 Heures

  The Speech organization within Siri drives major speech recognition, synthesis, and speech-to-speech model advances for features deeply embedded throughout Apple's ecosystem. Our mission is to build cutting-edge infrastructure, datasets, and models that empower Siri conversational AI, dictation, and speech-enabled Apple Intelligence features across natural language understanding, dialog generation, speech recognition, and multimodal interaction. We apply these technologies to create engaging, intelligent, and personalized conversational experiences for millions of Apple users. We are seeki...

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• Senior Search Machine Learning Engineer

  Apprentissage automatique et intelligence artificielle13 mai 2026

  LieuCupertino

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  • PartagerSenior Search Machine Learning Engineer 200661664-0836

  • Numéro de rôle :  200661664-0836
  • Heures hebdomadaires : 40 Heures

  Apple Maps and the thousands of applications it empowers are being used by millions every single day! As a fundamental tool for human activity, Maps technology is evolving and new techniques are emerging. We are looking for a Machine Learning Engineer to join and play a big part in the next revolution of Maps; to enable users to find more things in innovative ways. On our team, you will have plenty of opportunities to build groundbreaking technologies using Machine Learning and Generative AI at scale to improve the search quality for Apple Maps.

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• Machine Learning Engineer - Health AIML

  Apprentissage automatique et intelligence artificielle12 mai 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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• Sr. Machine Learning Engineer, Siri Speech

  Apprentissage automatique et intelligence artificielle08 mai 2026

  LieuCupertino

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  • PartagerSr. Machine Learning Engineer, Siri Speech 200662258-0836

  • Numéro de rôle :  200662258-0836
  • Heures hebdomadaires : 40 Heures

  We are a group of engineers/researchers responsible for advancing Siri Conversational AI at Apple. Our mission is to build cutting-edge infrastructure, datasets, and models that empower Siri with capabilities across natural language understanding, dialog generation, speech synthesis and recognition, and multi-modal interaction. We apply these technologies to create engaging, intelligent, and personalized conversational experiences for millions of Apple users!

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• Staff Applied Scientist, AI Quality & Meta Evaluation

  Apprentissage automatique et intelligence artificielle04 mai 2026

  LieuSeattle

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  • PartagerStaff Applied Scientist, AI Quality & Meta Evaluation 200661039-3337

  • Numéro de rôle :  200661039-3337
  • Heures hebdomadaires : 40 Heures

  Apple Services Engineering (ASE) powers AI and LLM features across App Store, Music, Video, and more. As these systems increasingly rely on LLM Judges and automated evaluators to score model performance at scale, the trustworthiness of those evaluation signals becomes mission-critical. We believe that to build exceptional LLMs, you need exceptional mechanisms to validate the signals used to train and evaluate them.

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• Senior Computer Vision Machine Learning Engineer, Apple Wallet

  Apprentissage automatique et intelligence artificielle30 avr. 2026

  LieuAustin

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  • PartagerSenior Computer Vision Machine Learning Engineer, Apple Wallet 200630530-0157

  • Numéro de rôle :  200630530-0157
  • Heures hebdomadaires : 40 Heures

  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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• Senior Computer Vision Machine Learning Engineer, Apple Wallet

  Apprentissage automatique et intelligence artificielle30 avr. 2026

  LieuNew York

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  • PartagerSenior Computer Vision Machine Learning Engineer, Apple Wallet 200630530-2459

  • Numéro de rôle :  200630530-2459
  • Heures hebdomadaires : 40 Heures

  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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• AIML - Machine Learning Engineer in Foundation Models, Responsible AI and Safety

  Apprentissage automatique et intelligence artificielle27 avr. 2026

  LieuCupertino

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  • PartagerAIML - Machine Learning Engineer in Foundation Models, Responsible AI and Safety 200660344-0836

  • Numéro de rôle :  200660344-0836
  • Heures hebdomadaires : 40 Heures

  Join us as we build world-class groundbreaking products for our customers! Apple's Data and ML Innovation team focuses on innovative technologies, methodologies, and research to enable fantastic user experiences and to push the frontier of machine learning. Our team is looking to hire a tech lead with a strong track record in Applied Research who is passionate about ML and foundation models with a focus on responsibility, fairness, and safety. In this role, you will lead the research and application of ML methods for technologies that power breakthrough user experiences while upholding Ap...

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• AIML - Machine Learning Researcher, MLR

  Apprentissage automatique et intelligence artificielle27 avr. 2026

  LieuCupertino

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  • PartagerAIML - Machine Learning Researcher, MLR 200660283-0836

  • Numéro de rôle :  200660283-0836
  • 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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• Machine Learning Engineer - Health AIML

  Apprentissage automatique et intelligence artificielle24 avr. 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 (MLOps) Engineer

  Apprentissage automatique et intelligence artificielle23 avr. 2026

  LieuCupertino

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  • PartagerMachine Learning (MLOps) Engineer 200657395-0836

  • Numéro de rôle :  200657395-0836
  • Heures hebdomadaires : 40 Heures

  As an MLOps Engineer, you will be the backbone of our machine learning infrastructure, ensuring that AI/ML systems are reliable, scalable, and continuously improving in production. You will bridge the gap between data science and engineering, driving operational excellence across the full ML lifecycle.

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• Machine Learning Engineer

  Apprentissage automatique et intelligence artificielle23 avr. 2026

  LieuCupertino

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  • PartagerMachine Learning Engineer 200657324-0836

  • Numéro de rôle :  200657324-0836
  • Heures hebdomadaires : 40 Heures

  As a Machine Learning Engineer, you will design and build cutting-edge AI/ML systems that drive meaningful business outcomes at scale. You will work cross-functionally to bring innovative machine learning solutions from research and experimentation through to robust, production-grade deployment.

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• ML Researcher, Autonomous Security

  Apprentissage automatique et intelligence artificielle22 avr. 2026

  LieuAustin

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  • PartagerML Researcher, Autonomous Security 200659299-0157

  • Numéro de rôle :  200659299-0157
  • Heures hebdomadaires : 40 Heures

  The Information Security Machine Learning (ISML) team empowers information security by harnessing patterns and insights from vast amounts of data to predict, detect, and respond; transforming reactive security into autonomous protection. We are seeking a highly innovative and experienced ML Researcher specializing in streaming threat detection over provenance graphs to join our dynamic team. As an ML Researcher on Autonomous Security, you will be instrumental in advancing the state-of-the-art in ML for cybersecurity, focusing on developing dynamic, adaptive, and robust security solutions th...

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