Trouvez le rôle idéal.

Résultats de la recherche

79 résultat(s)

Trier par : Plus récents

• Machine Learning Scientist - Apple Services Engineering, GenAI & ML Frameworks

  Apprentissage automatique et intelligence artificielle06 oct. 2026

  LieuNew York

  Actions

  
  • Voir la description complète du rôle
  • PartagerMachine Learning Scientist - Apple Services Engineering, GenAI & ML Frameworks 200687461-2459

  • Numéro de rôle :  200687461-2459
  • Heures hebdomadaires : 40 Heures

  Apple Services GenAI & ML Frameworks team aims at bridging foundation model capabilities with real-world production systems. The work spans LLM continual pretraining, posttraining, agentic reinforcement learning, agentic system optimization etc.. This role is part of the cross-LOB effort to support various GenAI use cases across ASE, and specializes in improving LLM domain knowledge, tool use, reasoning, and system integration—working closely with product, infra, and foundation model teams to bring cutting-edge models into user-facing features at scale.

  Envoyer un CV

• AIML - Manager, Applied AI Science - LLM/VLM-as-judge

  Apprentissage automatique et intelligence artificielle06 oct. 2026

  LieuCupertino

  Actions

  
  • Voir la description complète du rôle
  • PartagerAIML - Manager, Applied AI Science - LLM/VLM-as-judge 200661915-0836

  • Numéro de rôle :  200661915-0836
  • Heures hebdomadaires : 40 Heures

  Do you get excited by building and leading a team that redefines how AI products are evaluated? Our Evaluation organization is responsible for providing principled assessments across a diverse range of Apple features, from Search and Siri to the latest Apple Intelligence capabilities. Within this critical function, our team specializes in leveraging advanced AI/ML techniques to enhance both the quality and efficiency of these comprehensive evaluations. We are seeking an experienced and hands-on Manager to lead a team of Applied AI Scientists developing cutting-edge AI/ML models for the aut...

  Envoyer un CV

• AIML - Applied ML Research Scientist - Accessibility, Human Centered Machine Intelligence

  Apprentissage automatique et intelligence artificielle05 oct. 2026

  LieuSeattle

  Actions

  
  • Voir la description complète du rôle
  • PartagerAIML - Applied ML Research Scientist - Accessibility, Human Centered Machine Intelligence 200687240-3337

  • Numéro de rôle :  200687240-3337
  • Heures hebdomadaires : 40 Heures

  We are seeking an Applied Machine Learning Research Scientist to join our Accessibility efforts on the Human-Centered Machine Intelligence (HCMI) team within AIML at Apple. Research Scientists in HCMI tackle significant technical challenges, collaborate with partner teams to ship products, and shape the field of human-centered AIML via external publication. Join us to advance ML research and intelligent interactive technologies that enable people of all abilities to use Apple technology.

  Envoyer un CV

• Sr. Machine Learning Engineer, Speech LLM Evaluation

  Apprentissage automatique et intelligence artificielle02 oct. 2026

  LieuCambridge

  Actions

  
  • Voir la description complète du rôle
  • PartagerSr. Machine Learning Engineer, Speech LLM Evaluation 200682418-1242

  • Numéro de rôle :  200682418-1242
  • Heures hebdomadaires : 40 Heures

  Join the team redefining what a deeply personal and integrated assistant can be.  As part of the Siri organization, you will help shape one of the world's most widely used AI assistants, powered by our next-generation of Apple Intelligence, with capabilities like personal context understanding and on-screen awareness, built with privacy from the ground up. Your work will have direct, meaningful impact for users across iOS, iPadOS, macOS, watchOS, and visionOS. Our Speech Evaluation team sits at the center of Apple's ASR, TTS, and real-time conversational AI efforts, partnering directly wi...

  Envoyer un CV

• Sr. Machine Learning Engineer, Speech LLM Evaluation

  Apprentissage automatique et intelligence artificielle02 oct. 2026

  LieuCupertino

  Actions

  
  • Voir la description complète du rôle
  • PartagerSr. Machine Learning Engineer, Speech LLM Evaluation 200682418-0836

  • Numéro de rôle :  200682418-0836
  • Heures hebdomadaires : 40 Heures

  Join the team redefining what a deeply personal and integrated assistant can be.  As part of the Siri organization, you will help shape one of the world's most widely used AI assistants, powered by our next-generation of Apple Intelligence, with capabilities like personal context understanding and on-screen awareness, built with privacy from the ground up. Your work will have direct, meaningful impact for users across iOS, iPadOS, macOS, watchOS, and visionOS. Our Speech Evaluation team sits at the center of Apple's ASR, TTS, and real-time conversational AI efforts, partnering directly wi...

  Envoyer un CV

• AIML - Sr Software Engineer - AI, Evaluation

  Apprentissage automatique et intelligence artificielle01 oct. 2026

  LieuCupertino

  Actions

  
  • Voir la description complète du rôle
  • PartagerAIML - Sr Software Engineer - AI, Evaluation 200686891-0836

  • Numéro de rôle :  200686891-0836
  • Heures hebdomadaires : 40 Heures

  Do you want to help build the next generation of Apple AI products? Our Evaluation organization measures quality across Apple Intelligence, Siri, and newest generative features, and our measurements directly inform launch decisions. Our team builds the platforms behind it: LLM-as-judge autograders, tools to validate them against human judgment, and systems that run them at scale. We are looking for a senior engineer to own a critical part of that platform and take it to the next level.

  Envoyer un CV

• Senior Machine Learning Engineer, NLP, Input Experience

  Apprentissage automatique et intelligence artificielle27 sept. 2026

  LieuCupertino

  Actions

  
  • Voir la description complète du rôle
  • PartagerSenior Machine Learning Engineer, NLP, Input Experience 200651071-0836

  • Numéro de rôle :  200651071-0836
  • Heures hebdomadaires : 40 Heures

  Our team’s mission is to enhance ML powered user experiences on all Apple platforms through personalized multimodal input, composition, and understanding, with a global perspective. We achieve this daily by collaborating at the intersection of natural language processing, machine learning, and software engineering. We are responsible for the machine learning and software (non-UI) development for several user-facing Apple Intelligence features, including Writing Tools, Summarization, Found In Apps, and Messages/Mail Smart Replies. Additionally, we oversee the keyboard machine learning and ...

  Envoyer un CV

• AIML - Data Scientist, Evaluation

  Apprentissage automatique et intelligence artificielle24 sept. 2026

  LieuCupertino

  Actions

  
  • Voir la description complète du rôle
  • PartagerAIML - Data Scientist, Evaluation 200685687-0836

  • Numéro de rôle :  200685687-0836
  • Heures 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. As part of our online metrics and insights team, we are looking for a Sr Data Scientist to contribute to product understanding and development of Apple features. This role involves using analytical and engineering methods augmented by LLMs and python to develop conceptual and analytical models...

  Envoyer un CV

• Senior Software Engineer

  Apprentissage automatique et intelligence artificielle23 sept. 2026

  LieuCupertino

  Actions

  
  • Voir la description complète du rôle
  • PartagerSenior Software Engineer 200672806-0836

  • Numéro de rôle :  200672806-0836
  • Heures hebdomadaires : 40 Heures

  As part of the Siri organization, you will build the systems and tooling that make evaluation a first-class part of how Siri is developed — not an after-the-fact check — spanning human evaluation, real user feedback, reward and alignment signals, and data science rigor across iOS, iPadOS, macOS, watchOS, and visionOS. This is a rare opportunity to work at the intersection of software engineering and rigorous evaluation science — applying machine learning engineering techniques, from model evaluation to reward modeling, to build the infrastructure that keeps this quality signal trustworthy....

  Envoyer un CV

• Senior Machine Learning Engineer, Natural Language Generation

  Apprentissage automatique et intelligence artificielle17 sept. 2026

  LieuSeattle

  Actions

  
  • Voir la description complète du rôle
  • PartagerSenior Machine Learning Engineer, Natural Language Generation 200683336-3337

  • Numéro de rôle :  200683336-3337
  • Heures hebdomadaires : 40 Heures

  From our origins in iPhone keyboard input, the Input Experience NLP team has expanded to a broad charter: improve the user experience with robust language understanding and personalized text composition, across languages and Apple platforms. We build the ML models that underlie Summarization, Smart Reply, Writing Tools, and other features deeply integrated into Apple products. Generative AI is a transformative technology that we have only just begun to incorporate into our digital lives, to help everyday people digest the deluge of information they receive and express themselves more clearl...

  Envoyer un CV

• Sr. Software Development Engineer In Test - Siri AI Quality

  Apprentissage automatique et intelligence artificielle17 sept. 2026

  LieuCupertino

  Actions

  
  • Voir la description complète du rôle
  • PartagerSr. Software Development Engineer In Test - Siri AI Quality 200684226-0836

  • Numéro de rôle :  200684226-0836
  • Heures hebdomadaires : 40 Heures

  Apple is where individual imaginations gather together, committing to the values that lead to 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. Here, you’ll do mo...

  Envoyer un CV

• Sr. Machine Learning Engineer, Siri Speech

  Apprentissage automatique et intelligence artificielle17 sept. 2026

  LieuCupertino

  Actions

  
  • Voir la description complète du rôle
  • PartagerSr. Machine Learning Engineer, Siri Speech 200641206-0836

  • Numéro de rôle :  200641206-0836
  • Heures hebdomadaires : 40 Heures

  Join the team redefining what a deeply personal and integrated assistant can be.  As part of the Siri organization, you will help shape one of the world's most widely used AI assistants, powered by our next-generation of Apple Intelligence, with capabilities like personal context understanding and on-screen awareness, built with privacy from the ground up. Your work will have direct, meaningful impact for users across iOS, iPadOS, macOS, watchOS, and visionOS. This is a rare opportunity to build at the intersection of cutting-edge AI and human-centered design, shipping technology that is ...

  Envoyer un CV

• Machine Learning Research Engineer, NLP, Input Experience

  Apprentissage automatique et intelligence artificielle15 sept. 2026

  LieuCupertino

  Actions

  
  • Voir la description complète du rôle
  • PartagerMachine Learning Research Engineer, 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...

  Envoyer un CV

• Machine Learning Engineer, Natural Language Understanding, Proactive

  Apprentissage automatique et intelligence artificielle15 sept. 2026

  LieuSanta Clara

  Actions

  
  • Voir la description complète du rôle
  • PartagerMachine Learning Engineer, Natural Language Understanding, Proactive 200683571-3760

  • Numéro de rôle :  200683571-3760
  • Heures 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.

  Envoyer un CV

• Senior Machine Learning Engineer, Proactive

  Apprentissage automatique et intelligence artificielle14 sept. 2026

  LieuSanta Clara

  Actions

  
  • Voir la description complète du rôle
  • PartagerSenior Machine Learning Engineer, Proactive 200683565-3760

  • Numéro de rôle :  200683565-3760
  • Heures 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.

  Envoyer un CV

• Machine Learning Manager, Visual Generation Foundation Models

  Apprentissage automatique et intelligence artificielle11 sept. 2026

  LieuCupertino

  Actions

  
  • Voir la description complète du rôle
  • PartagerMachine Learning Manager, Visual Generation Foundation Models 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...

  Envoyer un CV

• Principal Applied Research Engineer/Scientist, Siri Labs

  Apprentissage automatique et intelligence artificielle10 sept. 2026

  LieuCupertino

  Actions

  
  • Voir la description complète du rôle
  • PartagerPrincipal Applied Research Engineer/Scientist, Siri Labs 200651756-0836

  • Numéro de rôle :  200651756-0836
  • Heures hebdomadaires : 40 Heures

  Join the team redefining what a deeply personal and integrated assistant can be. As part of the Siri organization, you will help shape one of the world's most widely used AI assistants, powered by our next-generation of Apple Intelligence, with capabilities like personal context understanding and on-screen awareness, built with privacy from the ground up. Your work will have direct, meaningful impact for users across iOS, iPadOS, macOS, watchOS, and visionOS. This is a rare opportunity to build at the intersection of cutting-edge AI and human-centered design, shipping technology that is c...

  Envoyer un CV

• Sr. Machine Learning Engineer, ML Systems Evaluation Engineering

  Apprentissage automatique et intelligence artificielle10 sept. 2026

  LieuCupertino

  Actions

  
  • Voir la description complète du rôle
  • PartagerSr. Machine Learning Engineer, ML Systems Evaluation Engineering 200683055-0836

  • Numéro de rôle :  200683055-0836
  • Heures hebdomadaires : 40 Heures

  Join the team redefining what a deeply personal and integrated assistant can be.  As part of the Siri organization, you will help shape one of the world's most widely used AI assistants, powered by our next-generation of Apple Intelligence, with capabilities like personal context understanding and on-screen awareness, built with privacy from the ground up. Your work will have direct, meaningful impact for users across iOS, iPadOS, macOS, watchOS, and visionOS. This is a rare opportunity to build at the intersection of cutting-edge AI and human-centered design, shipping technology that is ...

  Envoyer un CV

• Sr. Machine Learning Engineer, ML Systems Evaluation Engineering

  Apprentissage automatique et intelligence artificielle10 sept. 2026

  LieuSeattle

  Actions

  
  • Voir la description complète du rôle
  • PartagerSr. Machine Learning Engineer, ML Systems Evaluation Engineering 200683055-3337

  • Numéro de rôle :  200683055-3337
  • Heures hebdomadaires : 40 Heures

  Join the team redefining what a deeply personal and integrated assistant can be.  As part of the Siri organization, you will help shape one of the world's most widely used AI assistants, powered by our next-generation of Apple Intelligence, with capabilities like personal context understanding and on-screen awareness, built with privacy from the ground up. Your work will have direct, meaningful impact for users across iOS, iPadOS, macOS, watchOS, and visionOS. This is a rare opportunity to build at the intersection of cutting-edge AI and human-centered design, shipping technology that is ...

  Envoyer un CV

• Software Engineering Manager - Siri Evaluation, Developer Workflows

  Apprentissage automatique et intelligence artificielle10 sept. 2026

  LieuNew York

  Actions

  
  • Voir la description complète du rôle
  • PartagerSoftware Engineering Manager - Siri Evaluation, Developer Workflows 200674115-2459

  • Numéro de rôle :  200674115-2459
  • Heures 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.

  Envoyer un CV