Find your perfect role.
To reveal list of choices, typeMost corporate roles require English-language skills.
Refine by
- To reveal list of choices, type
- To reveal list of choices, type
- To reveal list of choices, type
Search Results
352 Result(s)
- Role Number: 200635625-0836
- Weekly Hours: 40 Hours
We're seeking an experienced AI/ML Security Engineer to serve as both a hands-on technical expert and strategic business leader in securing our artificial intelligence and machine learning systems. This dual-function role requires someone who can dive deep into technical security challenges while effectively communicating risks, strategies, and solutions to cross-functional teams and executive leadership. We offer- Opportunity to shape AI/ML security strategy at global scale Collaborative environment that values diverse perspectives and inclusive leadership Professional development budget ...
Submit Resume- LocationSanta ClaraActions
- Role Number: 200619552-3760
- Weekly Hours: 40 Hours
Do you want to build the future of Apple-scale AI enabled observability? We're looking for an experienced full stack observability engineer to design and build cloud-native solutions that empower observability for Search, AIML Infrastructure, and Apple Intelligence products. We're at the forefront of inventing next-gen observability systems, blending cloud-first engineering, AI, and industry standards to deliver smart, scalable solutions. Your work will directly impact the experience of billions of users on their favorite Apple devices. If you are a seasoned principal or senior software e...
Submit Resume - LocationCupertinoActions
- Role Number: 200630747-0836
- Weekly Hours: 40 Hours
We're inventing the future of smart observability solutions that leverage cloud-native engineering, AI models and techniques and open source. Our observability services ensure highly available and reliable AIML application services that enable billions of users to enjoy the smartest and best user experiences on their favorite Apple applications and devices. In this role, we’re looking to grow our team by adding a passionate and experienced full stack software engineer who is passionate about developing observability services and features that deliver delightful user visualization experienc...
Submit Resume - LocationVarious Locations within San Francisco Bay AreaActions
- Role Number: 200627770-3401
- 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 AIML Engineering Manager to lead a d...
Submit Resume - LocationVarious Locations within San Francisco Bay AreaActions
- Role Number: 200635137-3401
- Weekly Hours: 40 Hours
Imagine what you could do here! The people here at Apple don’t just create products — they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to develop a culture where everyone belongs and is inspired to do their best work. Here on the Apple Store Online team, we are responsible for Apple’s largest store. Our main goal is to d...
Submit Resume - Role Number: 200615499-3956
- Weekly Hours: 40 Hours
The Video Computer Vision organization is working on breakthrough technologies for future Apple products. Our team delivers cutting-edge AI, machine learning, computer vision and graphics algorithms that power technologies including human understanding, perception, digital humans, AI agents, and health applications. In this role, you will collaborate with world-class experts in AI, ML, Software, and Hardware to tackle fundamental challenges in human-centric solutions that will impact millions of users across Apple's ecosystem.
Submit Resume- Role Number: 200631911-3337
- Weekly Hours: 40 Hours
Would you like a chance to create a significant impact, working alongside world-class experts and using innovative technologies to push the boundaries of what's possible? At Apple, we believe in creating technology that enriches lives and empowers creativity. You'll play a pivotal role in developing Apple Intelligence, driving the next generation of groundbreaking products across all Apple platforms.
Submit Resume- Role Number: 200607600-0836
- Weekly Hours: 40 Hours
We are a group of engineers and researchers responsible for building foundation models at Apple. We build infrastructure, datasets, and models with fundamental general capabilities such as understanding and generation of text, images, speech, videos, and other modalities and apply these models to Apple products. We are looking for researchers who are passionate about developing algorithms, techniques, and systems that push the frontier of deep learning and delight millions of users with Apple products powered by foundation models.
Submit Resume- Role Number: 200641993-2459
- Weekly Hours: 40 Hours
We are a group of engineers and researchers responsible for building foundation models at Apple. We build infrastructure, datasets, and models with fundamental general capabilities such as understanding and generation of text, images, speech, videos, and other modalities and apply these models to Apple products. We are looking for researchers who are passionate about developing algorithms, techniques, and systems that push the frontier of deep learning and delight millions of users with Apple products powered by foundation models.
Submit Resume- Role Number: 200609128-0836
- Weekly Hours: 40 Hours
As part of Apple's Machine Learning Research organization, we do world-class scientific research and build the technologies that will power future products at Apple. The ML Research Team does world-class research and development across a wide range of domains including understanding and improving ML, addressing bias and fairness in algorithms, privacy and federated learning, embodied and interactive ML systems, computer vision, and more. The techniques and tools we create will impact ML solutions across Apple, which in turn power most of the features we deliver to billions of consumers worl...
Submit Resume- Role Number: 200640114-0836
- Weekly Hours: 40 Hours
Imagine what you could do here! The people here at Apple don’t just create products — they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to develop a culture where everyone belongs and is inspired to do their best work. Here on the Apple Store Online team, we are responsible for Apple’s largest store. Our main goal is to d...
Submit Resume- Role Number: 200625491-0836
- Weekly Hours: 40 Hours
Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly! Would you like to contribute to advancing a product that is redefining human-computer interaction, and work with the people who build the intelligent assistant that helps hundreds of millions of people get things done—just by asking? Can you build high-performing teams and inspire the Apple vision of excellence? Bring passion and dedication to your job, and there’s no telling what you could accomplish! The AIML team, focused on enhancing customer exp...
Submit Resume- Role Number: 200607600-2459
- Weekly Hours: 40 Hours
We are a group of engineers and researchers responsible for building foundation models at Apple. We build infrastructure, datasets, and models with fundamental general capabilities such as understanding and generation of text, images, speech, videos, and other modalities and apply these models to Apple products. We are looking for researchers who are passionate about developing algorithms, techniques, and systems that push the frontier of deep learning and delight millions of users with Apple products powered by foundation models.
Submit Resume- Role Number: 200607600-3337
- Weekly Hours: 40 Hours
We are a group of engineers and researchers responsible for building foundation models at Apple. We build infrastructure, datasets, and models with fundamental general capabilities such as understanding and generation of text, images, speech, videos, and other modalities and apply these models to Apple products. We are looking for researchers who are passionate about developing algorithms, techniques, and systems that push the frontier of deep learning and delight millions of users with Apple products powered by foundation models.
Submit Resume- Role Number: 200641993-3337
- Weekly Hours: 40 Hours
We are a group of engineers and researchers responsible for building foundation models at Apple. We build infrastructure, datasets, and models with fundamental general capabilities such as understanding and generation of text, images, speech, videos, and other modalities and apply these models to Apple products. We are looking for researchers who are passionate about developing algorithms, techniques, and systems that push the frontier of deep learning and delight millions of users with Apple products powered by foundation models.
Submit Resume- Role Number: 200610140-3760
- Weekly Hours: 40 Hours
At Apple, great 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. Do you want to make Siri and Apple Intelligence features smarter for our users? Contribute to the next revolution in AI and Machine Learning. We're a dynamic team seeking engineers who are enthusiastic about influencing the future of Apple Intelligence.
Submit Resume- LocationBeijingActions
- Role Number: 200628268-0351
- Weekly Hours: 40 Hours
AIML Production Engineering China team is looking for an outstanding Infrastructure Systems Engineer with experience in Machine Learning (ML) infrastructure services and applications to work in local and global projects for ML platforms, model training pipelines and result delivery.
Submit Resume - Role Number: 200601006-3278
- 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 encourage 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- Role Number: 200636357-0836
- 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? The vision for the AIML Evaluation organization is to improve products by using data as the voice of our customers. Within this organization the mission of the Data Science and Insight team is to inform product evolution through measurement, evaluation, and analysis of the user experience. You will partner with Apple Intelligence engineering teams to improve product quality and guide feature development with data, to deliver amazing experien...
Submit Resume- Role Number: 200636357-3337
- 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? The vision for the AIML Evaluation organization is to improve products by using data as the voice of our customers. Within this organization the mission of the Data Science and Insight team is to inform product evolution through measurement, evaluation, and analysis of the user experience. You will partner with Apple Intelligence engineering teams to improve product quality and guide feature development with data, to deliver amazing experien...
Submit Resume