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• ML Researcher, Autonomous Security

  Machine Learning and AI2026. ápr. 22.

  LocationAustin

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  • ShareML Researcher, Autonomous Security 200659299-0157

  • Role Number:  200659299-0157
  • Weekly Hours: 40 Hours

  The Information Security Machine Learning (ISML) team empowers information security by harnessing patterns and insights from vast amounts of data to predict, detect, and respond; transforming reactive security into autonomous protection. We are seeking a highly innovative and experienced ML Researcher specializing in streaming threat detection over provenance graphs to join our dynamic team. As an ML Researcher on Autonomous Security, you will be instrumental in advancing the state-of-the-art in ML for cybersecurity, focusing on developing dynamic, adaptive, and robust security solutions th...

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• ML Researcher, Autonomous Security

  Machine Learning and AI2026. ápr. 22.

  LocationSeattle

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  • ShareML Researcher, Autonomous Security 200659299-3337

  • Role Number:  200659299-3337
  • Weekly Hours: 40 Hours

  The Information Security Machine Learning (ISML) team empowers information security by harnessing patterns and insights from vast amounts of data to predict, detect, and respond; transforming reactive security into autonomous protection. We are seeking a highly innovative and experienced ML Researcher specializing in streaming threat detection over provenance graphs to join our dynamic team. As an ML Researcher on Autonomous Security, you will be instrumental in advancing the state-of-the-art in ML for cybersecurity, focusing on developing dynamic, adaptive, and robust security solutions th...

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• ML Researcher, Autonomous Security

  Machine Learning and AI2026. ápr. 22.

  LocationSunnyvale

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  • ShareML Researcher, Autonomous Security 200659299-3956

  • Role Number:  200659299-3956
  • Weekly Hours: 40 Hours

  The Information Security Machine Learning (ISML) team empowers information security by harnessing patterns and insights from vast amounts of data to predict, detect, and respond; transforming reactive security into autonomous protection. We are seeking a highly innovative and experienced ML Researcher specializing in streaming threat detection over provenance graphs to join our dynamic team. As an ML Researcher on Autonomous Security, you will be instrumental in advancing the state-of-the-art in ML for cybersecurity, focusing on developing dynamic, adaptive, and robust security solutions th...

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• Machine Learning Engineer – Recommendations & Personalization (Feature Engineering)

  Machine Learning and AI2026. ápr. 22.

  LocationSeattle

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  • ShareMachine Learning Engineer – Recommendations & Personalization (Feature Engineering) 200659262-3337

  • Role Number:  200659262-3337
  • Weekly Hours: 40 Hours

  The Apple Services Engineering team is one of the most exciting examples of Apple’s long-held passion for combining art and technology. We are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And we do it on a massive scale, meeting Apple’s high expectations with high performance, to deliver a huge variety of entertainment in over 35 languages to more than 150 countries. Our scientists and engineers build secure, end-to-end solutions powered by machine learning. Thanks to Apple’s unique integration of hardware, software, and services, designers, sc...

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• AIML- Compliance & Policies Lead, Evaluation

  Machine Learning and AI2026. ápr. 21.

  LocationNew York City

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  • ShareAIML- Compliance & Policies Lead, Evaluation 200658279-2459

  • Role Number:  200658279-2459
  • Weekly Hours: 40 Hours

  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. The AIML Privacy and Regulatory Compliance (PaRC) team leads privacy and regulatory compliance across AIML, partnering closely with Privacy Engineering, Privacy Legal, Competition Legal, Government Affairs, and various regulatory groups. This team shapes the direction of software features, models, and platforms across the company — balancing the tradeoffs invol...

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• AIML - Distinguished Engineer, Foundation Models

  Machine Learning and AI2026. ápr. 20.

  LocationCupertino

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  • ShareAIML - Distinguished Engineer, Foundation Models 200622814-0836

  • Role Number:  200622814-0836
  • 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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• Machine Learning Manager, Siri Speech

  Machine Learning and AI2026. ápr. 16.

  LocationCupertino

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  • ShareMachine Learning Manager, Siri Speech 200646880-0836

  • Role Number:  200646880-0836
  • 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, or 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. Come join us and do your best ...

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• Sr. Machine Learning Engineer, Siri Speech

  Machine Learning and AI2026. ápr. 16.

  LocationCupertino

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  • ShareSr. Machine Learning Engineer, Siri Speech 200641206-0836

  • Role Number:  200641206-0836
  • Weekly Hours: 40 Hours

  Are you excited about Generative AI and Large Language Models? Do you want to work on cutting-edge generative technologies that power intelligent, natural interactions for billions of users? Join the SWE Speech team at Apple! Our team develops state-of-the-art machine learning technologies for speech understanding, speech generation, and speech-to-speech interaction. We build scalable infrastructure, high-quality datasets, and advanced models that power Siri, Dictation, and speech-enabled Apple Intelligence features across natural language understanding, dialog generation, speech recogniti...

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• Machine Learning Research Engineer, Siri Comprehension & Planning, Siri Agent Modeling

  Machine Learning and AI2026. ápr. 16.

  LocationCupertino

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  • ShareMachine Learning Research Engineer, Siri Comprehension & Planning, Siri Agent Modeling 200588345-0836

  • Role Number:  200588345-0836
  • Weekly Hours: 40 Hours

  The future of AI is on-device. On the Siri team, we're solving the defining challenge: building and shipping powerful, LLMs that run with extreme efficiency across hundreds of millions of iPhones, Watches, and Macs. You will own the full ML stack, from data to deployment, bridging the gap between bleeding-edge research and product-critical models. This is where the hardest problems in applied ML are being solved.

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• Machine Learning Engineer, Apple Services Engineering

  Machine Learning and AI2026. ápr. 16.

  LocationSeattle

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  • Share Machine Learning Engineer, Apple Services Engineering 200651732-3337

  • Role Number:  200651732-3337
  • Weekly Hours: 40 Hours

  Are you passionate about building extraordinary products and embracing state of art techniques? It's central to all that we do! The goal of the Apple Services GenAI & ML Frameworks team is to take personalization, search, and more to the next level of intelligence and accuracy using advanced ML and statistical techniques.

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• AIML - Site Lead & Lead Researcher, Foundation Models

  Machine Learning and AI2026. ápr. 15.

  LocationSeattle

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  • ShareAIML - Site Lead & Lead Researcher, Foundation Models 200658199-3337

  • Role Number:  200658199-3337
  • 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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• Data Engineer, App Insights Engineering, Services Data Science & Analytics

  Machine Learning and AI2026. ápr. 13.

  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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• AIML - Machine Learning Researcher, MLR

  Machine Learning and AI2026. ápr. 13.

  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 Engineer

  Machine Learning and AI2026. ápr. 13.

  LocationSan Francisco

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

  Machine Learning and AI2026. ápr. 08.

  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 AI2026. ápr. 08.

  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 — LLM Systems, Generative AI Infrastructure & Agentic Platforms

  Machine Learning and AI2026. ápr. 06.

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

  Machine Learning and AI2026. ápr. 03.

  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 AI2026. ápr. 02.

  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...

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• Senior ML Engineer, Robotics - Special Projects

  Machine Learning and AI2026. ápr. 01.

  LocationSanta Clara

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  • ShareSenior ML Engineer, Robotics - Special Projects 200654494-3760

  • Role Number:  200654494-3760
  • 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, 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...

  Submit CV