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• AIML - Sr Machine Learning Engineer, Evaluation

  Machine Learning and AIApr 15, 2026

  LocationCupertino

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  • ShareAIML - Sr Machine Learning Engineer, Evaluation 200637203-0836

  • Role Number:  200637203-0836
  • Weekly Hours: 40 Hours

  At Apple, we blend world-class hardware, software, and services to produce a tight ecosystem of products used by billions of people around the world. Machine Learning and AI models are integrated throughout our ecosystem to enhance the user experience. Ensuring a delightful end to end user experience requires well-thought out data curation, rigorous evaluation methodology, and a high signal north star metric. Guiding feature development across the entire product life cycle requires partnering closely with modeling teams, engineers, design, and others. At Apple’s scale, it’s paramount th...

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• Data Engineer, App Insights Engineering, Services Data Science & Analytics

  Machine Learning and AIApr 13, 2026

  LocationAustin

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  • ShareData Engineer, App Insights Engineering, Services Data Science & Analytics 200657274-0157

  • Role Number:  200657274-0157
  • Weekly Hours: 40 Hours

  Are you ready to make a significant impact at the intersection of data engineering and App Store analytics within Apple? If you are passionate about building robust data pipelines, crafting complex data models, and enabling compelling, data-driven insights at scale, we would love for you to apply! The Apple Services Data Science & Analytics organization drives decisions that improve the customer experience, accelerate growth, and uncover new business opportunities while respecting user privacy and adhering to regulatory policy.

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• Senior Research Manager, Multimodal Reasoning - SIML

  Machine Learning and AIApr 13, 2026

  LocationCupertino

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  • ShareSenior Research Manager, Multimodal Reasoning - SIML 200657558-0836

  • Role Number:  200657558-0836
  • 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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• Health AIML - Distinguished Engineer

  Machine Learning and AIApr 13, 2026

  LocationCupertino

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  • ShareHealth AIML - Distinguished Engineer 200657654-0836

  • Role Number:  200657654-0836
  • 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 and machine learning engineers passionate about delivering innovative technologies for our users. We are looking for a senior technical leader that will explore new approaches to go beyond state-of-the-art methodologies.

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• AIML - Machine Learning Researcher, MLR

  Machine Learning and AIApr 13, 2026

  LocationCupertino

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  • ShareAIML - Machine Learning Researcher, MLR 200657534-0836

  • Role Number:  200657534-0836
  • Weekly Hours: 40 Hours

  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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• ML Safety Research Engineer

  Machine Learning and AIApr 13, 2026

  LocationSan Francisco

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  • ShareML Safety Research Engineer 200640076-3577

  • Role Number:  200640076-3577
  • Weekly Hours: 40 Hours

  Apple Services Engineering (ASE) powers many AI features across App Store, Music, Video and more. We build deeply personal products with the goal of representing users around the globe authentically. We work continuously to avoid perpetuating systemic biases and maintain safe and trustworthy experiences across our AI tools and models.

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• On-Device Machine Learning Engineer

  Machine Learning and AIApr 13, 2026

  LocationSunnyvale

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  • ShareOn-Device Machine Learning Engineer 200657024-3956

  • Role Number:  200657024-3956
  • Weekly Hours: 40 Hours

  We’re starting to see the incredible potential of multimodal foundation and large language models, and many applications in the computer vision and machine learning domain that previously appeared infeasible are now within reach. We are looking for a highly motivated and skilled Machine Learning Integration Engineer to join our team in the Video Computer Vision group and help us ship cutting edge computer vision technology on Apple devices. The Video Computer Vision org has pioneered features such as FaceID, FaceKit, and Gaze and Hand gesture control which have changed the way millions of u...

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• Machine Learning Engineer - Large Language Models & Generative AI Inference

  Machine Learning and AIApr 10, 2026

  LocationCupertino

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  • ShareMachine Learning Engineer - Large Language Models & Generative AI Inference 200655756-0836

  • Role Number:  200655756-0836
  • Weekly Hours: 40 Hours

  The Intelligence Platform team empowers clients across Apple’s operating systems with a high quality user-centric search and data platform, and the primary inference platform that enable next generation user experiences for Apple Intelligence. We are in search of an accomplished and driven Machine Learning Engineer who has a robust understanding of Large Language Models, Generative AI and high-performance systems computing. Your primary role will involve working with our cross-functional teams that build foundation models, as well as our client teams that want to run inference using these m...

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• Staff Generative AI Research Engineer, Reasoning & Memory - SIML

  Machine Learning and AIApr 09, 2026

  LocationCupertino

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  • ShareStaff Generative AI Research Engineer, Reasoning & Memory - SIML 200656712-0836

  • Role Number:  200656712-0836
  • Weekly Hours: 40 Hours

  The System Intelligence and Machine Learning (SIML) Content Understanding teams are seeking a Staff Applied Researcher in Reasoning & Memory Systems. 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:/...

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• Research Engineer, Reasoning & Memory - SIML

  Machine Learning and AIApr 09, 2026

  LocationCupertino

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  • ShareResearch Engineer, Reasoning & Memory - SIML 200656722-0836

  • Role Number:  200656722-0836
  • Weekly Hours: 40 Hours

  The System Intelligence and Machine Learning (SIML) Content Understanding teams are seeking a Research Engineer in Reasoning & Memory Systems. 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....

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• AIML - Sr Machine Learning Engineer - Data and ML Innovation

  Machine Learning and AIApr 08, 2026

  LocationCupertino

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  • ShareAIML - Sr Machine Learning Engineer - Data and ML Innovation 200613134-0836

  • Role Number:  200613134-0836
  • Weekly Hours: 40 Hours

  Would you like to be a part of Apple’s AI and Machine Learning org, where we encourage and create groundbreaking technology for multi-modal models with strong agent and reasoning capabilities? The Data and Machine Learning Innovation (DMLI) team is seeking a passionate Machine Learning Engineer to explore new methods, challenge existing metrics and protocols, and develop new insightful practices for real-world ML challenges. As a team member, you will work on some of the most ambitious technical challenges in the field. Your role will involve collaborating closely with our team of machine l...

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• AIML - Sr Machine Learning Engineer - Data and ML Innovation

  Machine Learning and AIApr 08, 2026

  LocationSeattle

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  • ShareAIML - Sr Machine Learning Engineer - Data and ML Innovation 200613134-3337

  • Role Number:  200613134-3337
  • Weekly Hours: 40 Hours

  Would you like to be a part of Apple’s AI and Machine Learning org, where we encourage and create groundbreaking technology for multi-modal models with strong agent and reasoning capabilities? The Data and Machine Learning Innovation (DMLI) team is seeking a passionate Machine Learning Engineer to explore new methods, challenge existing metrics and protocols, and develop new insightful practices for real-world ML challenges. As a team member, you will work on some of the most ambitious technical challenges in the field. Your role will involve collaborating closely with our team of machine l...

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• Senior Manager - Machine Learning Applied Research and ML , Responsible AI and Safety

  Machine Learning and AIApr 08, 2026

  LocationCupertino

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  • ShareSenior Manager - Machine Learning Applied Research and ML , Responsible AI and Safety 200655875-0836

  • Role Number:  200655875-0836
  • Weekly Hours: 40 Hours

  Join us as we build world-class groundbreaking products for our customers! Apple's Responsible AI and Safety 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 leader 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 App...

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• Senior Manager - Machine Learning Applied Research and ML , Responsible AI and Safety

  Machine Learning and AIApr 08, 2026

  LocationSeattle

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  • ShareSenior Manager - Machine Learning Applied Research and ML , Responsible AI and Safety 200655875-3337

  • Role Number:  200655875-3337
  • Weekly Hours: 40 Hours

  Join us as we build world-class groundbreaking products for our customers! Apple's Responsible AI and Safety 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 leader 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 App...

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• Software Engineer (Distributed System)

  Machine Learning and AIApr 08, 2026

  LocationSanta Clara

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  • ShareSoftware Engineer (Distributed System) 200634779-3760

  • Role Number:  200634779-3760
  • Weekly Hours: 40 Hours

  At Apple, the information powering Siri, Spotlight, Apple Maps, and Apple Intelligence doesn't appear by magic — it's harvested at massive scale from the live web by a distributed crawl platform you'll help build and operate. You'll join a small, high-impact team responsible for a system that continuously fetches, renders, and extracts structured knowledge from billions of web pages — feeding the intelligence layer behind Apple's most-used products.

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• Software Engineer (Distributed System)

  Machine Learning and AIApr 08, 2026

  LocationSeattle

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  • ShareSoftware Engineer (Distributed System) 200634779-3337

  • Role Number:  200634779-3337
  • Weekly Hours: 40 Hours

  At Apple, the information powering Siri, Spotlight, Apple Maps, and Apple Intelligence doesn't appear by magic — it's harvested at massive scale from the live web by a distributed crawl platform you'll help build and operate. You'll join a small, high-impact team responsible for a system that continuously fetches, renders, and extracts structured knowledge from billions of web pages — feeding the intelligence layer behind Apple's most-used products.

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• Software Engineer — LLM Systems, Generative AI Infrastructure & Agentic Platforms

  Machine Learning and AIApr 06, 2026

  LocationCupertino

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  • ShareSoftware Engineer — LLM Systems, Generative AI Infrastructure & Agentic Platforms 200649842-0836

  • Role Number:  200649842-0836
  • Weekly Hours: 40 Hours

  The Intelligence Platform team builds scalable, production-grade systems that power high-quality, user-centric intelligence across Apple’s operating systems. We focus on designing and operating large-scale ML systems leveraging Generative AI, Large Language Models, RAG architectures, and emerging agentic AI patterns. Our goal is to deliver reliable, low-latency, and privacy-preserving AI capabilities at scale.

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• Sr. Machine Learning Engineer, Vision Products Group

  Machine Learning and AIApr 03, 2026

  LocationSunnyvale

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  • ShareSr. Machine Learning Engineer, Vision Products Group 200655809-3956

  • Role Number:  200655809-3956
  • Weekly Hours: 40 Hours

  Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, 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 more than join something — y...

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• Engineering Manager, App Insights, Services Data Science & Analytics

  Machine Learning and AIApr 03, 2026

  LocationVarious Locations within San Francisco Bay Area

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  • ShareEngineering Manager, App Insights, Services Data Science & Analytics 200655609-3401

  • Role Number:  200655609-3401
  • Weekly Hours: 40 Hours

  Are you ready to lead a high-performing team of engineers and data practitioners at the intersection of analytics, data engineering, and business intelligence within Apple? If you are passionate about building teams that deliver reliable, scalable, and impactful data products — and thrive in environments that demand both technical depth and executive-level stakeholder partnership — we would love for you to apply! The Apple Services Data Science & Analytics organization drives decisions that improve the customer experience, accelerate growth, and uncover new business opportunities while re...

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• AIML - Machine Learning Researcher, MLR

  Machine Learning and AIApr 02, 2026

  LocationCupertino

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  • ShareAIML - Machine Learning Researcher, MLR 200577866-0836

  • Role Number:  200577866-0836
  • Weekly Hours: 40 Hours

  Play a part in building the next revolution of machine learning technology. We're looking for passionate junior and mid-level 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 resul...

  Submit Resume