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203 Result(s)
- Role Number: 200672750-0836
- Weekly Hours: 40 Hours
Apple's Artificial Intelligence & Machine Learning (AIML) Admin Team is looking for an Administrative Assistant to support our leaders and teams. You will be part of a centralized administrative environment working to meet the growing demands of the business. The ideal candidate will take a proactive approach to administrative duties with the ability to work both independently and collaboratively on a wide range of confidential and time-sensitive assignments. We seek a passionate and ambitious teammate who's well-organized, able to effectively multi-task and prioritize in an ever-changing e...
Submit Resume- Role Number: 200679473-0157
- Weekly Hours: 40 Hours
Are you passionate about building the data infrastructure that powers AI-driven customer experience measurement — and using that data to uncover the "why" behind the numbers? The AppleCare Customer Insights (ACCI) team is redefining how Apple measures and improves generative support experiences. Our AIML initiatives use large language models to evaluate support conversations across multiple quality dimensions, providing real-time signal to leadership on how our AI-powered support is performing. We are seeking an AIML Data Engineer to own the data pipelines, feature engineering, and telemetr...
Submit Resume- Role Number: 200677415-0836
- Weekly Hours: 40 Hours
Imagine what you could do here. At Apple, great ideas have a way of becoming outstanding products, services, and customer experiences very quickly. We believe that if you bring passion and dedication to your job, there's no telling what you could accomplish! As a member of our Worldwide Product Marketing group, you’ll represent customers and developers throughout the entire lifecycle from concept through development and launch of our core AI technologies and features. You’ll develop and apply insights to help infuse innovative features into our development process. Together with your pa...
Submit Resume- Role Number: 200660581-0836
- Weekly Hours: 40 Hours
Are you excited to tackle some of the most ambitious technical challenges in Apple Intelligence? Be involved in collaborating closely with our machine learning researchers, engineers, and data scientists? Together, you will orchestrate groundbreaking research initiatives and develop transformative products designed to build a significant impact for billions of users worldwide! The AI and Machine Learning team is looking for Senior Data Engineer to build world-class data infrastructure and solutions that are used by data scientists, ML engineers and researchers to power Apple Foundation Mod...
Submit Resume- Role Number: 200632967-3337
- 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 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! In this organization, we work hard to bring the best user experiences powered by Apple Intelligence. Our team is instrumental in powering and enhancing features across a range of Apple products, including Siri...
Submit Resume- 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...
Submit Resume- 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 Resume- 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...
Submit Resume- Role Number: 200609199-0836
- Weekly Hours: 40 Hours
Are you excited to tackle some of the most ambitious technical challenges in Apple Intelligence? Be involved in collaborating closely with our machine learning researchers, engineers, and data scientists? Together, you will orchestrate groundbreaking research initiatives and develop transformative products designed to build a significant impact for billions of users worldwide! The AI and Machine Learning team is looking for Sr Python Backend Engineer to build world-class data solutions that are used by data scientists, ML engineers and researchers to power Apple Foundation Model lifecycle.
Submit Resume- Role Number: 200664795-4170
- Weekly Hours: 40 Hours
The Personalized AI for Science (PAIS) team is at the forefront of machine learning and health science at Apple. We are a close-knit team of deeply technical AI/ML research scientists who incubate ambitious research ideas and develop new statistical/ML methodologies, ultimately in service of new Apple health and wellbeing applications. We are seeking a research scientist who combines deep learning (and/or signal processing) experience with a rigorous foundation in statistics. The ideal candidate is passionate about model robustness and scientific rigor, ensuring that the models we deploy me...
Submit Resume- Role Number: 200658504-0836
- 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. Apple delivers great features and privacy to our users. This unique role combines Privacy Engineering with hands-on software engineering work with the Privacy Preserving Machine Learning team. The Privacy Preserving Machine Learning team works with teams all across the company to provide tools and support for state of the art privacy-preserving measurement and mac...
Submit Resume- Role Number: 200658504-3337
- 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. Apple delivers great features and privacy to our users. This unique role combines Privacy Engineering with hands-on software engineering work with the Privacy Preserving Machine Learning team. The Privacy Preserving Machine Learning team works with teams all across the company to provide tools and support for state of the art privacy-preserving measurement and mac...
Submit Resume- Role Number: 200618434-0836
- Weekly Hours: 40 Hours
Imagine what you could do here. At Apple, great ideas have a way of becoming outstanding products, services, and customer experiences very quickly. We believe that if you bring passion and dedication to your job, there's no telling what you could accomplish! As a member of our Worldwide Product Marketing group, you’ll represent customers and developers throughout the entire lifecycle from concept through development and launch of our core AI technologies and features. You’ll develop and apply insights to help infuse innovative features into our development process. Together with your part...
Submit Resume- Role Number: 200558994-0836
- Weekly Hours: 40 Hours
The Financial Analyst will be an integral part of Financial Planning & Analysis (FP&A) team within the Services Finance organization and work on various financial tasks related to tracking, analyzing, and reporting of key financial and business information. The Financial Analyst will partner with other Finance teams, including Apple Media Products (App Store, Music, Card, iCloud, etc.), Search Ads, and AI/ML, among others, to identify, analyze and solve challenging strategic and operational issues to improve both top and bottom line. We are looking for a talented and motivated indivi...
Submit Resume- Role Number: 200608388-3337
- Weekly Hours: 40 Hours
Play a part in building the next revolution in machine learning technology. We’re looking for passionate researchers to work on ambitious, curiosity-driven, long-term research projects. 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 in high-quality scientific venues.
Submit Resume- Role Number: 200593444-3715
- Weekly Hours: 40 Hours
You’re passionate about supporting others to achieve the highest level of service in every interaction. You’re a role model and leader who advocates for their team. You’re invested in your work relationships and hold yourself and your team to a high standard of accountability. You’re naturally curious and gravitate towards tools and resources that enrich your team. If you are ready to inspire and lead, join Apple and help us leave the world better than we found it. Are you interested in being part of a team that continues to innovate the way people and machines interact? The launch of Si...
Submit Resume- LocationCupertinoActions
- Role Number: 200673514-0836
- Weekly Hours: 40 Hours
The Apple Intelligence Agents, Infrastructure, and Research team brings innovative AI research into Apple products, with a focus on optimizing, interpreting, and developing new algorithms for on-device and server-based Apple Foundation Models and Apple Intelligence features.
Submit Resume - LocationSeattleActions
- Role Number: 200673514-3337
- Weekly Hours: 40 Hours
The Apple Intelligence Agents, Infrastructure, and Research team brings innovative AI research into Apple products, with a focus on optimizing, interpreting, and developing new algorithms for on-device and server-based Apple Foundation Models and Apple Intelligence features.
Submit Resume - LocationCupertinoActions
- 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...
Submit Resume - 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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