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Sr Machine Learning Engineer - ML Platform
Apprentissage machine et intelligence artificielle16 sept. 2026
EmplacementNew York
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Numéro du poste : 200683782-2459
Heures de travail hebdomadaires : 40 Heures
At Apple, we work every day to create products that enrich people's lives. Our Apple Ads group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Today, our technology and services power advertising in the App Store, Apple Maps, and Apple News. Our platforms are highly-performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user privacy. The Apple Ads Machine Learning Platform team's mission is to empo...
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Machine Learning Engineer
Apprentissage machine et intelligence artificielle15 sept. 2026
EmplacementCupertino
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Numéro du poste : 200683846-0836
Heures de travail hebdomadaires : 40 Heures
Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish! Our team is working toward a future where our devices are aware of us and our environment, they directly support our health and wellbeing, and they nudge us to be more thoughtful, present, and inspired human beings. We believe there is huge opportunity to improve lives and the world by understanding people, our activities, connections, and the environments we liv...
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Machine Learning Engineer - Notifications & Personalization
Apprentissage machine et intelligence artificielle15 sept. 2026
EmplacementCupertino
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Numéro du poste : 200683064-0836
Heures de travail hebdomadaires : 40 Heures
Our team is looking for you to help make iOS more intelligent, proactive and personal. Our team is part of the core iOS experience, using privacy preserving on-device intelligence to drive new experiences that touch the lives of millions of Apple customers every day. We are responsible for personalizing core system experiences, such as helping you manage and summarize notifications, get the most relevant widgets in smart stacks, as well as predicting your next Focus. In our team you will bring expertise in machine learning and software engineering to train and deploy models that surprise a...
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Machine Learning Engineer, Natural Language Understanding, Proactive
Apprentissage machine et intelligence artificielle15 sept. 2026
EmplacementSanta Clara
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Numéro du poste : 200683571-3760
Heures de travail hebdomadaires : 40 Heures
Apple's On-Device Query Understanding team is building the next generation of personalized, intelligent search. You will research and develop novel approaches in query understanding and machine learning modeling, creating the technology that enables seamless search and assistant experiences across Apple products. This is a role for someone passionate about applying machine learning and generative AI to meaningful, large-scale challenges, where your work will directly shape how millions of people interact with Apple products every day.
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Governance & Operations Lead, Infrastructure & Planning
Apprentissage machine et intelligence artificielle15 sept. 2026
EmplacementCupertino
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Numéro du poste : 200683618-0836
Heures de travail hebdomadaires : 40 Heures
Apple’s Platform Acceleration & Compute Efficiency (PACE) is a high-leverage team operating at the critical intersection of our ML organizations, underlying compute infrastructure, and core platform tooling. Our mission is to empower Apple’s software engineering teams with efficient, scalable compute. By driving out operational friction and optimizing the broader machine learning ecosystem, we directly accelerate the pace of development across the company. We are seeking a founding Operations Lead with a passion for ML compute lifecycle management to build and own our governance and operat...
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Senior Machine Learning Engineer, Proactive
Apprentissage machine et intelligence artificielle14 sept. 2026
EmplacementSanta Clara
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Numéro du poste : 200683565-3760
Heures de travail hebdomadaires : 40 Heures
At Apple, machine learning powers experiences that anticipate what people need before they ask. We're looking for a Senior Machine Learning Engineer to help build the next generation of intelligent search and AI experiences technology that understands user intent, context, and personal information while preserving privacy. In this role, you'll design, train, fine-tune, optimize, and deploy large language models, semantic retrieval systems, and ranking models that power relevant, personalized, and context-aware experiences across Apple's ecosystem.
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Machine Learning Research Engineer, ASE Search
Apprentissage machine et intelligence artificielle11 sept. 2026
EmplacementCupertino
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Numéro du poste : 200679268-0836
Heures de travail hebdomadaires : 40 Heures
The Apple Services Engineering (ASE) team is one of the most exciting examples of Apple's long-held passion for combining art and technology. People here create the experiences loved by users across App Store, Apple TV, Apple Music, Apple Podcasts, Apple Books, and Apple Fitness. The scale is massive, delivering content and entertainment in over 35 languages to more than 150 countries, while meeting Apple's high bar for quality and performance. The team is responsible for building secure, robust, end-to-end solutions across server and client to solve challenging problems. Thanks to Apple'...
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Machine Learning Research Engineer, ASE Search
Apprentissage machine et intelligence artificielle11 sept. 2026
EmplacementSeattle
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Numéro du poste : 200679268-3337
Heures de travail hebdomadaires : 40 Heures
The Apple Services Engineering (ASE) team is one of the most exciting examples of Apple's long-held passion for combining art and technology. People here create the experiences loved by users across App Store, Apple TV, Apple Music, Apple Podcasts, Apple Books, and Apple Fitness. The scale is massive, delivering content and entertainment in over 35 languages to more than 150 countries, while meeting Apple's high bar for quality and performance. The team is responsible for building secure, robust, end-to-end solutions across server and client to solve challenging problems. Thanks to Apple'...
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ML Infrastructure Engineer - ML Compute Capacity
Apprentissage machine et intelligence artificielle11 sept. 2026
EmplacementSanta Clara
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Numéro du poste : 200681765-3760
Heures de travail hebdomadaires : 40 Heures
Scaling machine learning workloads across thousands of accelerators creates challenges that few engineers ever encounter. In Apple’s Machine Learning Platform Technologies organization, we build the infrastructure that powers large-scale ML training and inference workloads, bringing together expertise in distributed systems, machine learning infrastructure, and high-performance computing.
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Senior Machine Learning Engineer, Apple Wallet
Apprentissage machine et intelligence artificielle11 sept. 2026
EmplacementCupertino
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Numéro du poste : 200683100-0836
Heures de travail 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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Software Engineering Manager - Siri Evaluation, Developer Workflows
Apprentissage machine et intelligence artificielle10 sept. 2026
EmplacementNew York
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Numéro du poste : 200674115-2459
Heures de travail hebdomadaires : 40 Heures
Siri's evaluation signal drives every model and product decision before a release ships. The Developer Workflows team, part of Siri's Agentic Evaluation Engineering organization, builds and maintains the next generation of developer workflows that Apple's internal teams rely on to evaluate what they build. We are looking for a hands-on engineering leader to run this team in New York and set its technical direction.
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Machine Learning Engineer - Health AIML
Apprentissage machine et intelligence artificielle09 sept. 2026
EmplacementCupertino
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Numéro du poste : 200662966-0836
Heures de travail 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 - Software Engineer - AI, Evaluation
Apprentissage machine et intelligence artificielle08 sept. 2026
EmplacementCupertino
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Numéro du poste : 200679752-0836
Heures de travail hebdomadaires : 40 Heures
Do you get excited by building software systems to enhance the automatic evaluation of various Apple AI products? Our Evaluation organization is responsible for providing principled assessments across a diverse range of Apple features, from Search, Siri to the latest Apple Intelligence capabilities. Our team specializes in building LLM-as-judge and related tools to improve both the quality and efficiency of these evaluations. We are seeking a highly innovative and passionate AI software engineer to expand our tools and systems.
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Engineering Manager, Web Indexing
Apprentissage machine et intelligence artificielle08 sept. 2026
EmplacementSanta Clara
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Numéro du poste : 200682440-3760
Heures de travail hebdomadaires : 40 Heures
We’re looking for an Engineering Manager to lead the team that builds and scales the indexing infrastructure powering web and image search. The team runs both petabyte-scale offline batch pipelines and near-real-time indexing systems that turn web documents, images, and metadata into production-ready indexes. You’ll lead engineers across distributed computing, data processing, and storage, while partnering with crawling, ranking, ML, retrieval, and infrastructure teams to shape the long-term indexing strategy. This is a cross-functional leadership role requiring strong technical depth, orga...
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Senior Systems Engineer - Special Projects
Apprentissage machine et intelligence artificielle04 sept. 2026
EmplacementCupertino
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Numéro du poste : 200681868-0836
Heures de travail hebdomadaires : 40 Heures
Apple is where individual imaginations gather together to do great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. We’d love to work with you.
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Senior Product Data Scientist, Media Services
Apprentissage machine et intelligence artificielle03 sept. 2026
EmplacementCulver City
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Numéro du poste : 200681003-0670
Heures de travail hebdomadaires : 40 Heures
Services at Apple help hundreds of millions of customers get the most out of the devices they love through amazing apps, award-winning shows and movies, immersive music in spatial audio, world-class workouts and meditations, super fun games and more! The Services Product Data Science & Analytics organization is passionate about developing discerning insights and machine learning solutions to help continually improve these services and accelerate growth while maintaining a strong dedication to customer privacy.
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Senior Product Data Scientist, Media Services
Apprentissage machine et intelligence artificielle03 sept. 2026
EmplacementCupertino
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Numéro du poste : 200681003-0836
Heures de travail hebdomadaires : 40 Heures
Services at Apple help hundreds of millions of customers get the most out of the devices they love through amazing apps, award-winning shows and movies, immersive music in spatial audio, world-class workouts and meditations, super fun games and more! The Services Product Data Science & Analytics organization is passionate about developing discerning insights and machine learning solutions to help continually improve these services and accelerate growth while maintaining a strong dedication to customer privacy.
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AIML - Machine Learning Researcher, Foundation Models
Apprentissage machine et intelligence artificielle03 sept. 2026
EmplacementCupertino
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Numéro du poste : 200667299-0836
Heures de travail hebdomadaires : 40 Heures
We are a group of engineers and researchers responsible for building foundation models at Apple. We build infrastructure, datasets, and models with fundamental general capabilities such as understanding and generation of text, images, speech, videos, and other modalities and apply these models to Apple products. We are looking for researchers who are passionate about developing algorithms, techniques, and systems that push the frontier of deep learning and delight millions of users with Apple products powered by foundation models.
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On-device ML Infrastructure Engineer (Orchestration & Performance)
Apprentissage machine et intelligence artificielle02 sept. 2026
EmplacementCupertino
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Numéro du poste : 200680834-0836
Heures de travail hebdomadaires : 40 Heures
Imagine being at the forefront of an evolution where cutting-edge AI meets the elegance of Apple silicon. The On-Device Machine Learning team transforms groundbreaking research into practical applications, enabling billions of Apple devices to run powerful AI models locally, privately, and efficiently. We stand at the unique intersection of research, software engineering, hardware engineering, and product development, making Apple the leading destination for machine learning innovation. Our team builds the essential infrastructure that enables machine learning at scale on Apple devices. Th...
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On-Device ML Compiler Engineer, Model Compilation, Graphics, Games and Machine Learning
Apprentissage machine et intelligence artificielle02 sept. 2026
EmplacementCupertino
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Numéro du poste : 200631247-0836
Heures de travail hebdomadaires : 40 Heures
Imagine being at the forefront of an evolution where innovative AI meets the elegance of Apple silicon. The On-Device Machine Learning team transforms groundbreaking research into practical applications, enabling billions of Apple devices to run powerful AI models locally, privately, and efficiently. We stand at the unique intersection of research, software engineering, hardware engineering, and product development, making Apple the leading destination for machine learning innovation. Our team builds the essential infrastructure that enables machine learning at scale on Apple devices. This...
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