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156 Result(s)

Machine Learning Engineer - Health AIML
Machine Learning and AI12. 5. 2026
LocationCupertino
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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. Machine Learning Engineer, Siri Speech
Machine Learning and AI08. 5. 2026
LocationCupertino
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Role Number: 200662258-0836
Weekly Hours: 40 Hours
We are a group of engineers/researchers responsible for advancing Siri Conversational AI at Apple. Our mission is to build cutting-edge infrastructure, datasets, and models that empower Siri with capabilities across natural language understanding, dialog generation, speech synthesis and recognition, and multi-modal interaction. We apply these technologies to create engaging, intelligent, and personalized conversational experiences for millions of Apple users!
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Sr Machine Learning Engineer, Proactive
Machine Learning and AI07. 5. 2026
LocationSanta Clara
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Role Number: 200661999-3760
Weekly Hours: 40 Hours
We are looking for a hardworking and experienced Machine Learning Engineer to build intelligent search experiences. In this role, you will build intelligent search systems that deeply understand user intent and context to return highly relevant, accurate, and personalized responses. You will develop and deploy machine learning models to shape how users find relevant content or answers, driving better experiences and higher satisfaction!
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Staff Applied Scientist, AI Quality & Meta Evaluation
Machine Learning and AI04. 5. 2026
LocationSeattle
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Role Number: 200661039-3337
Weekly Hours: 40 Hours
Apple Services Engineering (ASE) powers AI and LLM features across App Store, Music, Video, and more. As these systems increasingly rely on LLM Judges and automated evaluators to score model performance at scale, the trustworthiness of those evaluation signals becomes mission-critical. We believe that to build exceptional LLMs, you need exceptional mechanisms to validate the signals used to train and evaluate them.
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Senior Computer Vision Machine Learning Engineer, Apple Wallet
Machine Learning and AI30. 4. 2026
LocationAustin
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Role Number: 200630530-0157
Weekly Hours: 40 Hours
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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Senior Computer Vision Machine Learning Engineer, Apple Wallet
Machine Learning and AI30. 4. 2026
LocationNew York City
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Role Number: 200630530-2459
Weekly Hours: 40 Hours
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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AIML - Machine Learning Engineer in Foundation Models, Responsible AI and Safety
Machine Learning and AI27. 4. 2026
LocationCupertino
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Role Number: 200660344-0836
Weekly Hours: 40 Hours
Join us as we build world-class groundbreaking products for our customers! Apple's Data and ML Innovation 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 tech lead 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 Ap...
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AIML - Machine Learning Researcher, MLR
Machine Learning and AI27. 4. 2026
LocationCupertino
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Role Number: 200660283-0836
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 results...
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Machine Learning Engineer - Health AIML
Machine Learning and AI24. 4. 2026
LocationCupertino
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Role Number: 200659977-0836
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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Machine Learning (MLOps) Engineer
Machine Learning and AI23. 4. 2026
LocationCupertino
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Role Number: 200657395-0836
Weekly Hours: 40 Hours
As an MLOps Engineer, you will be the backbone of our machine learning infrastructure, ensuring that AI/ML systems are reliable, scalable, and continuously improving in production. You will bridge the gap between data science and engineering, driving operational excellence across the full ML lifecycle.
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Machine Learning Engineer
Machine Learning and AI23. 4. 2026
LocationCupertino
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Role Number: 200657324-0836
Weekly Hours: 40 Hours
As a Machine Learning Engineer, you will design and build cutting-edge AI/ML systems that drive meaningful business outcomes at scale. You will work cross-functionally to bring innovative machine learning solutions from research and experimentation through to robust, production-grade deployment.
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ML Researcher, Autonomous Security
Machine Learning and AI22. 4. 2026
LocationAustin
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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 AI22. 4. 2026
LocationSeattle
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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 AI22. 4. 2026
LocationSunnyvale
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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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AIML- Compliance & Policies Lead, Evaluation
Machine Learning and AI21. 4. 2026
LocationNew York City
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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 AI20. 4. 2026
LocationCupertino
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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 AI16. 4. 2026
LocationCupertino
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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 AI16. 4. 2026
LocationCupertino
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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 AI16. 4. 2026
LocationCupertino
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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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AIML - Site Lead & Lead Researcher, Foundation Models
Machine Learning and AI15. 4. 2026
LocationSeattle
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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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