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• AIML - ML Researcher, Responsible AI

  Apprentissage automatique et intelligence artificielle05 juin 2026

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  • PartagerAIML - ML Researcher, Responsible AI 200667081-0836

  • Numéro de rôle :  200667081-0836
  • 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 advance 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 Human-Computer Interaction - mainly as applied to the responsibility, fairness, and safety of Generative AI. In this role, you will lead research methods focused on enabling ML technologies that power breakthrough user ...

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• AIML - ML Researcher, Responsible AI

  Apprentissage automatique et intelligence artificielle05 juin 2026

  LieuPittsburgh

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  • PartagerAIML - ML Researcher, Responsible AI 200667081-2926

  • Numéro de rôle :  200667081-2926
  • 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 advance 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 Human-Computer Interaction - mainly as applied to the responsibility, fairness, and safety of Generative AI. In this role, you will lead research methods focused on enabling ML technologies that power breakthrough user ...

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• AIML - ML Researcher, Responsible AI

  Apprentissage automatique et intelligence artificielle05 juin 2026

  LieuSeattle

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  • PartagerAIML - ML Researcher, Responsible AI 200667081-3337

  • Numéro de rôle :  200667081-3337
  • 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 advance 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 Human-Computer Interaction - mainly as applied to the responsibility, fairness, and safety of Generative AI. In this role, you will lead research methods focused on enabling ML technologies that power breakthrough user ...

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• Senior Data Scientist, Experimentation & Causal Inference

  Apprentissage automatique et intelligence artificielle05 juin 2026

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  • PartagerSenior Data Scientist, Experimentation & Causal Inference 200666485-0836

  • Numéro de rôle :  200666485-0836
  • Heures hebdomadaires : 40 Heures

  At Apple, some of the most important decisions are shaped by the quality of the evidence behind them. We are seeking a Senior Data Scientist, Experimentation & Causal Inference to help advance the scientific foundations of measurement, experimentation, and organizational learning across Apple Services. This role sits at the intersection of statistics, causal inference, experimental design, and decision-making. You will help define how success is measured, how experiments aredesigned, and how causal evidence is generated and accumulated across the organization. Beyond individual experiment...

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• Senior Data Scientist, Strategic Modeling & Simulation

  Apprentissage automatique et intelligence artificielle05 juin 2026

  LieuCupertino

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  • PartagerSenior Data Scientist, Strategic Modeling & Simulation 200666451-0836

  • Numéro de rôle :  200666451-0836
  • Heures hebdomadaires : 40 Heures

  At Apple, many of the most consequential decisions are made long before products launch, features ship, or investments are approved. We are seeking a Senior Data Scientist, StrategicModeling & Simulation to help quantify the future impact of strategic decisions under uncertainty. This role combines strategic simulation, predictive modeling, machine learning, impact estimation, forecasting, and quantitative decision science to help leadership evaluate opportunities, understand trade-offs, and make better long-term investment decisions. You will develop the models that connect experimenta...

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• Sr Machine Learning Engineer, Proactive

  Apprentissage automatique et intelligence artificielle04 juin 2026

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  • PartagerSr Machine Learning Engineer, Proactive 200661999-3760

  • Numéro de rôle :  200661999-3760
  • Heures hebdomadaires : 40 Heures

  We are looking for a hardworking and experienced Machine Learning Engineer to build intelligent search experiences. In this role, you will build intelligent search systems that deeply understand user intent and context to return highly relevant, accurate, and personalized responses. You will develop and deploy machine learning models to shape how users find relevant content or answers, driving better experiences and higher satisfaction!

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• Special Projects - Research Scientist/Engineer (Robotics)

  Apprentissage automatique et intelligence artificielle27 mai 2026

  LieuSanta Clara

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  • PartagerSpecial Projects - Research Scientist/Engineer (Robotics) 200663675-3760

  • Numéro de rôle :  200663675-3760
  • Heures hebdomadaires : 40 Heures

  We are seeking research scientists and engineers with a strong background in machine learning and robotics to drive breakthrough innovations in intelligent 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 and publishing in top-tier scientific venues.

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• Engineering Manager, Data for Applied AI Models

  Apprentissage automatique et intelligence artificielle27 mai 2026

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  • PartagerEngineering Manager, Data for Applied AI Models 200648101-0836

  • Numéro de rôle :  200648101-0836
  • 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 our Data lead, you will help craft the future of on-device AI 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 technical leader who thrives at the intersection of cutting-edge AI development and product delivery.

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• AIML Researcher/Engineer - Foundation Model Post-Training

  Apprentissage automatique et intelligence artificielle27 mai 2026

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  • PartagerAIML Researcher/Engineer - Foundation Model Post-Training 200662944-0836

  • Numéro de rôle :  200662944-0836
  • Heures hebdomadaires : 40 Heures

  We are a tight-knit group of researchers and engineers responsible for building large scale frontier foundation models at Apple. We believe the most interesting breakthroughs in deep learning happen when we bridge the gap between raw model capability and user-centric utility.

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• AIML Researcher/Engineer - Foundation Model Post-Training

  Apprentissage automatique et intelligence artificielle27 mai 2026

  LieuNew York

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  • PartagerAIML Researcher/Engineer - Foundation Model Post-Training 200662944-2459

  • Numéro de rôle :  200662944-2459
  • Heures hebdomadaires : 40 Heures

  We are a tight-knit group of researchers and engineers responsible for building large scale frontier foundation models at Apple. We believe the most interesting breakthroughs in deep learning happen when we bridge the gap between raw model capability and user-centric utility.

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• AIML Researcher/Engineer - Foundation Model Post-Training

  Apprentissage automatique et intelligence artificielle27 mai 2026

  LieuSeattle

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  • PartagerAIML Researcher/Engineer - Foundation Model Post-Training 200662944-3337

  • Numéro de rôle :  200662944-3337
  • Heures hebdomadaires : 40 Heures

  We are a tight-knit group of researchers and engineers responsible for building large scale frontier foundation models at Apple. We believe the most interesting breakthroughs in deep learning happen when we bridge the gap between raw model capability and user-centric utility.

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• Sr. Machine Learning Research Engineer, Siri Speech

  Apprentissage automatique et intelligence artificielle16 mai 2026

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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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• Senior Machine Learning Engineer, Apple Search & Knowledge Platforms

  Apprentissage automatique et intelligence artificielle14 mai 2026

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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

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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

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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

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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

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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

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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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