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• ML Software Engineering Manager - Apple Music

  Machine Learning and AI10.7.2026

  LocationCupertino

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  • ShareML Software Engineering Manager - Apple Music 200671796-0836

  • Role Number:  200671796-0836
  • Weekly Hours: 40 Hours

  Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. The work you do here has the potential to reach hundreds of millions of people, and nowhere is that more true than Apple Music, where technology and artistry meet to connect listeners with the music they love. The Apple Music ML team is looking for an ML Software Engineering Manager to lead a team at the forefront of music recommendation and personalization. This is a rare opportunity to shape how tens of millions of people discover music every...

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• Staff Machine Learning Engineer : Platform Intelligence - Apple Maps

  Machine Learning and AI09.7.2026

  LocationCupertino

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  • ShareStaff Machine Learning Engineer : Platform Intelligence - Apple Maps 200649663-0836

  • Role Number:  200649663-0836
  • Weekly Hours: 40 Hours

  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 Staff Machine Learning Engineer to drive the design, development, and deployment of machine learning models optimized for on-device training and inference. You will partner with a variety of subject experts across the company to build intelligent features and personalized maps experiences. This role involves collaborating with various partners, from engineers to desig...

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• International Engineering Lead - Intelligence Features

  Machine Learning and AI07.7.2026

  LocationCupertino

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  • ShareInternational Engineering Lead - Intelligence Features 200671391-0836

  • Role Number:  200671391-0836
  • Weekly Hours: 40 Hours

  The International Intelligence Engineering team powers the tooling, features and processes used to create an exceptional international experience across Apple’s intelligence features for 100s of millions of our global customers and devices. We are looking for an experienced, motivated, technical and passionate international ML engineering leader who will drive, coordinate and deliver the next generation of end-user intelligence features for international locales across multiple platforms (iOS, macOS, watchOS, etc). This person will be a creative, motivated, technical leader with excellent...

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• Senior Machine Learning Engineer, Personal Search Intelligence - Proactive

  Machine Learning and AI06.7.2026

  LocationCupertino

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  • ShareSenior Machine Learning Engineer, Personal Search Intelligence - Proactive 200670539-0836

  • Role Number:  200670539-0836
  • Weekly Hours: 40 Hours

  Do you believe that intelligent search can fundamentally change how people interact with their devices? Are you excited by the possibility of helping users effortlessly find and connect with their personal information? Come join the team within Apple's Proactive Organization that is building the next generation of Personal Search Intelligence.

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• Machine Learning Manager, Data for Foundation Models - SIML

  Machine Learning and AI06.7.2026

  LocationCupertino

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  • ShareMachine Learning Manager, Data for Foundation Models - SIML 200667330-0836

  • Role Number:  200667330-0836
  • Weekly Hours: 40 Hours

  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...

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• Senior Machine Learning Engineer Search Capabilities, Proactive

  Machine Learning and AI02.7.2026

  LocationSanta Clara

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  • ShareSenior Machine Learning Engineer Search Capabilities, Proactive 200670397-3760

  • Role Number:  200670397-3760
  • Weekly Hours: 40 Hours

  The Siri team is redefining how hundreds of millions of people access information across Apple devices — with privacy built in from the ground up. As part of the Applied ML team, you will advance Apple Intelligence through agentic search, result ranking, and low-latency production services that power experiences across Siri, Spotlight, Safari, Messages, and more. Our team researches and builds deep search systems for Personal Question Answering — enabling Siri to answer questions about a user's emails, messages, events, files, and more, while keeping personal data private.

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• AI/ML Evaluation Specialist, Human Data

  Machine Learning and AI02.7.2026

  LocationCupertino

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  • ShareAI/ML Evaluation Specialist, Human Data 200670744-0836

  • Role Number:  200670744-0836
  • Weekly Hours: 40 Hours

  At Apple, we don’t just build products — we build experiences fueled by world-class data. The Human-centered AI team within Apple Services Engineering is looking for an ML Evaluation Specialist, Human Data to join our Data Quality and Operations division to spearhead complex, multi-stakeholder operations that specialize in data collection, curation, annotation, and human evaluation efforts across Apple Music, App Store, TV+, Podcasts, and Books.

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• Senior Machine Learning Engineer / Senior Applied Scientist, Search & AI

  Machine Learning and AI30.6.2026

  LocationBengaluru

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  • ShareSenior Machine Learning Engineer / Senior Applied Scientist, Search & AI 200670460-0321

  • Role Number:  200670460-0321
  • Weekly Hours: 40 Hours

  Apple is where individual imaginations come 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 strengthening each other’s ideas. That happens because every one of us believes that we can make something wonderful and share it with the world, changing lives for the better! Here, you’ll do more than join something — you’ll add something. The Information Intelligence team is at the forefront of revolutionizing how billions of people interact with their devices to search and find wha...

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• Machine Learning Engineer - Health AIML

  Machine Learning and AI29.6.2026

  LocationCupertino

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  • ShareMachine Learning Engineer - Health AIML 200662966-0836

  • Role Number:  200662966-0836
  • Weekly Hours: 40 Hours

  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 Research Manager, Multimodal Reasoning - SIML

  Machine Learning and AI26.6.2026

  LocationSeattle

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  • ShareSr Research Manager, Multimodal Reasoning - SIML 200657558-3337

  • Role Number:  200657558-3337
  • Weekly Hours: 40 Hours

  The System Intelligence and Machine Learning (SIML) Content Understanding team is seeking a Senior Research Manager in Multimodal Reasoning. You will be working alonside teams that are in charge of operating system wide embeddings, personalized RAG workstreams, tool calling, context compaction / efficiency & memory systems. Projects are focussed on advancing Apple Intelligence capabilities, while working closely across disciplines with our partners in hardware engineering, design and product. Selected references to our prior work: (a) https://arxiv.org/pdf/2507.13575 (b) https://arxiv.org...

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• AIML - Sr Data Scientist, Evaluation

  Machine Learning and AI26.6.2026

  LocationCupertino

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  • ShareAIML - Sr Data Scientist, Evaluation 200669902-0836

  • Role Number:  200669902-0836
  • Weekly Hours: 40 Hours

  Do you get excited by driving product impact via measurement and evaluation, for products and services used by hundreds of millions of people globally? Within the evaluation organization, the mission of Data Science and Insights team is to guide product development, decisions and directions through principled evaluation and rigorous use of data. You will partner with various engineering teams to improve search quality and guide feature development with data, to deliver amazing search experiences across iPhone, iPad, HomePod, Mac, Watch, tv, across dozens of languages.  

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• AIML - Machine Learning Engineer, Foundation Models

  Machine Learning and AI24.6.2026

  LocationNew York City

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  • ShareAIML - Machine Learning Engineer, Foundation Models 200617642-2459

  • Role Number:  200617642-2459
  • Weekly Hours: 40 Hours

  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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• AIML - Machine Learning Engineer, Foundation Models

  Machine Learning and AI24.6.2026

  LocationCupertino

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  • ShareAIML - Machine Learning Engineer, Foundation Models 200617642-0836

  • Role Number:  200617642-0836
  • Weekly Hours: 40 Hours

  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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• AIML - Machine Learning Engineer, Foundation Models

  Machine Learning and AI24.6.2026

  LocationSeattle

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  • ShareAIML - Machine Learning Engineer, Foundation Models 200617642-3337

  • Role Number:  200617642-3337
  • Weekly Hours: 40 Hours

  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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• AIML - Machine Learning Researcher, Foundation Models

  Machine Learning and AI24.6.2026

  LocationCupertino

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  • ShareAIML - Machine Learning Researcher, Foundation Models 200641998-0836

  • Role Number:  200641998-0836
  • Weekly Hours: 40 Hours

  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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• AIML - Machine Learning Researcher, Foundation Models

  Machine Learning and AI24.6.2026

  LocationSeattle

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  • ShareAIML - Machine Learning Researcher, Foundation Models 200641998-3337

  • Role Number:  200641998-3337
  • Weekly Hours: 40 Hours

  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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• AIML - Machine Learning Researcher, Foundation Models

  Machine Learning and AI24.6.2026

  LocationNew York City

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  • ShareAIML - Machine Learning Researcher, Foundation Models 200641998-2459

  • Role Number:  200641998-2459
  • Weekly Hours: 40 Hours

  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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• AIML - ML Researcher, AFM

  Machine Learning and AI24.6.2026

  LocationCupertino

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  • ShareAIML - ML Researcher, AFM 200607600-0836

  • Role Number:  200607600-0836
  • Weekly Hours: 40 Hours

  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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• AIML - ML Researcher, AFM

  Machine Learning and AI24.6.2026

  LocationSeattle

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  • ShareAIML - ML Researcher, AFM 200607600-3337

  • Role Number:  200607600-3337
  • Weekly Hours: 40 Hours

  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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• AIML - ML Researcher, AFM

  Machine Learning and AI24.6.2026

  LocationNew York City

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  • ShareAIML - ML Researcher, AFM 200607600-2459

  • Role Number:  200607600-2459
  • Weekly Hours: 40 Hours

  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...

  Submit CV