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121 Result(s)

Manager, Engineering Program Management, AIML Data Operations
Machine Learning and AI14. 2. 2026
LocationCupertino
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Role Number: 200634945-0836
Weekly Hours: 40 Hours
Apple is where individual imaginations gather together, committing to the values that lead to great work. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. Here, you'll do more than join something — you'll add something. At Apple, we work every day to create products that enrich people's lives. We believe artificial intelligence is one of the most profound technologies of our lifetime. The AIML Data Operations team builds software systems that enable high-quality machine learning data collection and annotation at scale. Ou...
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AIML - Data Scientist, Evaluation
Machine Learning and AI13. 2. 2026
LocationCupertino
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Role Number: 200637217-0836
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 - Data Scientist, Evaluation
Machine Learning and AI13. 2. 2026
LocationSeattle
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Role Number: 200637217-3337
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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Machine Learning Manager, Siri Speech
Machine Learning and AI13. 2. 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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AIML - Sr Machine Learning Engineer, Responsible AI
Machine Learning and AI12. 2. 2026
LocationCupertino
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Role Number: 200636400-0836
Weekly Hours: 40 Hours
Would you like to play a part in building the next generation of generative AI applications at Apple? We’re looking for Machine Learning Engineers to work on ambitious projects that will impact the future of Apple, our products, and the broader world. This role is directed at assessing, quantifying, and improving the safety and inclusivity of Apple’s Generative-AI powered features and products. In this role you’ll have the opportunity to tackle innovative problems in machine learning, particularly focused on large language models for text generation, diffusion models for image generation,...
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AIML - Sr Machine Learning Engineer, Responsible AI
Machine Learning and AI12. 2. 2026
LocationSeattle
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Role Number: 200636400-3337
Weekly Hours: 40 Hours
Would you like to play a part in building the next generation of generative AI applications at Apple? We’re looking for Machine Learning Engineers to work on ambitious projects that will impact the future of Apple, our products, and the broader world. This role is directed at assessing, quantifying, and improving the safety and inclusivity of Apple’s Generative-AI powered features and products. In this role you’ll have the opportunity to tackle innovative problems in machine learning, particularly focused on large language models for text generation, diffusion models for image generation,...
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Machine Learning Engineer, Siri Core Modeling
Machine Learning and AI11. 2. 2026
LocationVarious locations within San Francisco Bay Area
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Role Number: 200646481-3401
Weekly Hours: 40 Hours
The Siri team is creating groundbreaking technology for large scale systems, spoken language, machine learning, and LLMs to enable better conversational experience with Siri. The features we create are redefining how hundreds of millions of people use their computers and mobile devices to fulfill their requirements and find what they are looking for. As part of the Siri team, you will work with the talent dense team who crafted the intelligent assistant that helps users get things done — just by asking.
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Strategic Partnerships Leader, Corporate Development
Machine Learning and AI10. 2. 2026
LocationCupertino
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Role Number: 200646043-0836
Weekly Hours: 40 Hours
Apple’s Corporate Development team is seeking a visionary business development leader to drive high-impact strategic partnerships and accelerate innovation. This role will manage select, high-profile external relationships while partnering closely with cross-functional teams across Apple, including engineering, product, and operations. The successful candidate will influence Apple’s long-term strategy by driving transformative partnerships and collaborations, providing actionable insights to senior leadership. We thrive on bold thinking, embrace complexity, and value individuals who bring ...
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Machine Learning Enablement Engineer, Siri Core Modeling
Machine Learning and AI09. 2. 2026
LocationVarious locations within San Francisco Bay Area
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Role Number: 200615272-3401
Weekly Hours: 40 Hours
Imagine what you could do here. At Apple, revolutionary ideas have a way of becoming extraordinary products, services, and customer experiences. Join the Siri Agent Modeling - Tooling & Operations team to rapidly iterate the tooling and infrastructure that enables the larger organization to do their best work.
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AIML - Sr Machine Learning Engineer - Answers, Knowledge & Information
Machine Learning and AI09. 2. 2026
LocationSeattle
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Role Number: 200637725-3337
Weekly Hours: 40 Hours
Do you want to make Siri and Apple products smarter for our users? The Answers, Knowledge & Information team is redefining how hundreds of millions of people use their devices to get information. We are an Applied ML team pushing the limits of apple intelligence, assistant response ranking, and search technologies, while also responsible for a production service. We are part of a wider effort to power information across a variety of Apple products – including Siri, Spotlight, Safari, Messages, Lookup, and more. In our team, you will be leveraging and improving upon the latest LLM/ML techniq...
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AIML - Sr Machine Learning Engineer, Data and ML Innovation
Machine Learning and AI09. 2. 2026
LocationCupertino
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Role Number: 200645846-0836
Weekly Hours: 40 Hours
Do you want to play a part in the revolution in Foundation Models? Contribute to model hillclimbing for Apple Intelligence features that leverage Apple Foundation Models, and work with the people who built the intelligent products that helps millions of people get things done — just by asking or typing? The vision for AIML FM Data organization is to improve Foundation Models by leveraging data and cutting-edge LLM techniques. As a Sr ML Engineering on the team, you will drive ML innovations, identify key opportunity areas and experiment with various techniques to improve model training and...
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AIML - Sr Machine Learning Engineer, Data and ML Innovation
Machine Learning and AI09. 2. 2026
LocationSeattle
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Role Number: 200645846-3337
Weekly Hours: 40 Hours
Do you want to play a part in the revolution in Foundation Models? Contribute to model hillclimbing for Apple Intelligence features that leverage Apple Foundation Models, and work with the people who built the intelligent products that helps millions of people get things done — just by asking or typing? The vision for AIML FM Data organization is to improve Foundation Models by leveraging data and cutting-edge LLM techniques. As a Sr ML Engineering on the team, you will drive ML innovations, identify key opportunity areas and experiment with various techniques to improve model training and...
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Machine Learning Engineer, Information Security
Machine Learning and AI06. 2. 2026
LocationSeattle
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Role Number: 200645407-3337
Weekly Hours: 40 Hours
Join Apple’s Information Security Machine Learning (ISML) team, where we are redefining cybersecurity through data-driven intelligence. Our mission is to transform traditional reactive security measures into autonomous systems that proactively detect and defend against threats. We achieve this through cutting-edge research, applied science, and robust infrastructure development. We are seeking a highly motivated and talented Machine Learning Engineer to join our dynamic and growing team. You will play a pivotal role in designing, developing, and deploying machine learning models that power ...
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Machine Learning Engineer, Information Security
Machine Learning and AI06. 2. 2026
LocationSunnyvale
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Role Number: 200645407-3956
Weekly Hours: 40 Hours
Join Apple’s Information Security Machine Learning (ISML) team, where we are redefining cybersecurity through data-driven intelligence. Our mission is to transform traditional reactive security measures into autonomous systems that proactively detect and defend against threats. We achieve this through cutting-edge research, applied science, and robust infrastructure development. We are seeking a highly motivated and talented Machine Learning Engineer to join our dynamic and growing team. You will play a pivotal role in designing, developing, and deploying machine learning models that power ...
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Siri Runtime Platform Software Engineer, Siri Core Modeling
Machine Learning and AI05. 2. 2026
LocationCupertino
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Role Number: 200645602-0836
Weekly Hours: 40 Hours
Join the Siri Runtime Platform team and help shape the future of Apple Intelligence. We are engineers, scientists, and problem solvers working to bring smarter, faster, and more natural interactions to millions of users worldwide. As a Software Engineer on our team, you will build the on-device runtime foundation that powers Siri, enabling seamless, intelligent, and secure user experiences. This is an opportunity to collaborate with a passionate, diverse group of cross-functional partners to deliver the next generation of innovative features across the Apple ecosystem.
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Applied ML Science Manager
Machine Learning and AI04. 2. 2026
LocationCupertino
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Role Number: 200645136-0836
Weekly Hours: 40 Hours
Services at Apple help hundreds of millions of customers get the most out of the devices they love through amazing apps, award-winning shows and movies, immersive music in spatial audio, world-class workouts and meditations, super fun games and more! The Services Data Science & Analytics organization is passionate about developing discerning insights and AIML solutions to help continually improve these services and accelerate growth while maintaining a strong dedication to customer privacy. We are currently seeking an experienced and passionate Applied ML Science Manager to lead a dynamic...
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AIML - Sr Machine Learning Engineer, Data and ML Innovation
Machine Learning and AI31. 1. 2026
LocationCupertino
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Role Number: 200644415-0836
Weekly Hours: 40 Hours
Do you want to play a part in the next revolution in Foundation Models? Contribute to model hill climbing for Apple Intelligence features that leverage Apple Foundation Models, and work with the people who built the intelligent products that helps millions of people get things done — just by asking or typing! The vision for the AI/ML FM Data organization is to improve Foundation Models by leveraging data from a variety of sources: crawl, license, vendor and internal crowd-sourcing. As a Sr ML Engineering on the team, you will drive ML innovations, identify key opportunity areas where data...
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AIML - AI Software Engineer, Evaluation
Machine Learning and AI28. 1. 2026
LocationCupertino
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Role Number: 200636362-0836
Weekly Hours: 40 Hours
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. Our team specializes in building LLM-as-judge and related tools to improve both the quality and efficiency of these evaluations. We are seeking a highly innovative and passionate AI software engineer to expand our tools and systems.
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AIML - AI Software Engineer, Evaluation
Machine Learning and AI28. 1. 2026
LocationSeattle
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Role Number: 200636362-3337
Weekly Hours: 40 Hours
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. Our team specializes in building LLM-as-judge and related tools to improve both the quality and efficiency of these evaluations. We are seeking a highly innovative and passionate AI software engineer to expand our tools and systems.
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Software Engineering Manager, Machine Learning Platform Technologies
Machine Learning and AI26. 1. 2026
LocationVarious locations within San Francisco Bay Area
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Role Number: 200642895-3401
Weekly Hours: 40 Hours
Lead the transformation of Apple's testing and validation infrastructure at scale. As a Test Infrastructure Manager, you'll architect and champion comprehensive developer platforms that empower thousands of engineers across Apple to author and execute validation efficiently. This is a strategic leadership opportunity to build infrastructure and tooling that enables developers to validate early, often, and with confidence—while establishing robust feedback loops from production operations and SRE to continuously improve coverage effectiveness and risk assessment. You will excel in this role ...
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