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Die meisten Stellen bei Apple Corporate erfordern Englischkenntnisse.

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AIML - Machine Learning Engineer, Answers & Knowledge & Information
Machine Learning und AI14. Juli 2025
Schanghai
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Stellennummer: 200601158
Wochenstunden: 40 Stunden
The Answers & Knowledge & Information team is creating groundbreaking technology for artificial intelligence, machine learning and natural language processing! The features we create are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Siri’s universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup. As part of this group, you will be doing large scale machine learning and deep learning to improve Query Understanding and Ranking ...
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AIML - Sr. Software Data Infrastructure Engineer,Data and ML Innovation
Machine Learning und AI10. Juli 2025
Schanghai
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Stellennummer: 200611927
Wochenstunden: 40 Stunden
Do you get excited by driving impact via measurement and evaluation, for products and services used by hundreds of millions of people globally? The vision of AIML Data and ML Innovation organization is to improve products by using data as the voice of our customers. We are seeking a passionate and experienced Data Infrastructure Engineer to play a pivotal role in revolutionizing how we process and use substantial datasets as the heart of Siri, Search and Machine Learning. You will be instrumental in building a unified, groundbreaking data insights framework and data processing framework, po...
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AIML - Machine Learning Engineer, Data & Machine Learning Innovation
Machine Learning und AI08. Juli 2025
Schanghai
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Stellennummer: 200595406
Wochenstunden: 40 Stunden
As part of Apple's AI and Machine Learning org, we inspire and create groundbreaking technology for large language models, multi-modal models, with strong agent and reasoning capabilities. The Data and Machine Learning Innovation (DMLI) team is looking for a passionate Machine Learning Engineer to explore new methods, challenge existing metrics or protocols, and develop new insightful practices that will change how we understand data and overcome real-world ML challenges. As a team member, you will work on some of the most ambitious technical challenges in the field. Your role will involve ...
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Senior Software Engineer (MLOps)
Machine Learning und AI19. Juni 2025
Schanghai
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Stellennummer: 200587538
Wochenstunden: 40 Stunden
We are looking for a Senior Software Engineer (MLOps) to help us ensure that machine learning models are not only successfully deployed but also maintained and monitored for optimal performance. You will lead all the processes to design, build and manage reproducible, testable, and evolvable ML-powered software.
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AIML- Infrastructure Systems Engineer (Machine Learning), Machine Learning Platform Technologies
Machine Learning und AI27. Mai 2025
Schanghai
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Stellennummer: 200598161
Wochenstunden: 40 Stunden
The AIML Production Engineering China team is looking for an exceptional Infrastructure Systems Engineer with experience in Machine Learning (ML) infrastructure services and applications to work in local and global projects for platforms of computation, data retention, data processing pipelines and result delivery. The Systems Engineer is expected to be qualified as a technical leader, with the potential to design and to build architecture through cross-organizational collaboration. This role has a high impact and is essential to creating the highest quality user experience that Apple inter...
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AIML - Data Operations Annotation Analyst (Cantonese)
Machine Learning und AI21. Apr. 2025
Schanghai
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Stellennummer: 200600593
Wochenstunden: 40 Stunden
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. The people here at Apple donʼt just craft products - they build the kind of wonder that revolutionized entire industries. Itʼs 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. 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 ...
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AIML - Annotation Team Lead (Shanghai)
Machine Learning und AI03. März 2025
Schanghai
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Stellennummer: 200593444
Wochenstunden: 40 Stunden
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...
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AIML - Data Operations Annotation Analyst (Mandarin)
Machine Learning und AI09. Dez. 2024
Schanghai
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Stellennummer: 200566284
Wochenstunden: 40 Stunden
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. The people here at Apple donʼt just craft products - they build the kind of wonder that revolutionized entire industries. Itʼs 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. 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 ...
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Computer Vision Algorithm Engineer
Machine Learning und AI07. Okt. 2023
Schanghai
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Stellennummer: 200472645
Wochenstunden: 40 Stunden
The display technology team features a collaborative environment with creative, smart talents, world-class products and cutting-edge technologies. Team provides opportunities for individuals to contribute across a wide spectrum of disciplines. Best in class engineering excellence and thoroughness are expected and encouraged. Innovation, IP and patent creation are highly supported and valued. Pushing the envelope to design and ship innovative products with best-in-class technologies and user experiences are the main goals of the display technology team
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