Finde die perfekte Stelle für dich.
Die meisten Stellen bei Apple Corporate erfordern Englischkenntnisse.
Erweiterte Suche nach:
- Du kannst Text eingeben, mit den Pfeiltasten eine Option auswählen und mit der Eingabetaste die Seite aktualisieren.
- Du kannst Text eingeben, mit den Pfeiltasten eine Option auswählen und mit der Eingabetaste die Seite aktualisieren.
- Du kannst Text eingeben, mit den Pfeiltasten eine Option auswählen und mit der Eingabetaste die Seite aktualisieren.
Suchergebnisse
- Stellennummer: 200598938
- Wochenstunden: 40 Stunden
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 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. Here, you’ll do mo...
Lebenslauf sendenSenior Front-end Engineering Manager, Apple Data Platform Experience
Software und Services09. Apr. 2025Cupertino- Stellennummer: 200598691
- Wochenstunden: 40 Stunden
This Senior Front-end Engineering Manager will lead all UI development for Apple’s Data Platform (multiple teams & managers). We are looking for an Engineering leader with a passion for User Experience and Front-end Engineering. Apple’s new Data Platform powers Apple Intelligence and is at the beginning of democratizing Generative AI worldwide. This team delivers Analytics & ML Engineering at scale for Siri and Search as well as any product, feature, or service using or planning to use AI/ML across Apple. The mission of the Data Platform Experience Team is simple: provide data consumers (ML...
Lebenslauf senden- Stellennummer: 200598690
- Wochenstunden: 40 Stunden
Apple Data Platform provides the machine learning, AI and data services that enables Apple product teams to build the intelligent systems and services being shipped in Apple products. We are the platform providing the building blocks for Apple Services, Software and AI/ML organizations for large scale ML and data processing. We provide a comprehensive suite of capabilities leveraging open source technologies like Ray and Spark that empower teams to build AI workflows, train models, analyze data, and perform data transformations at Apple scale and with strong governance. We are looking for E...
Lebenslauf senden- Stellennummer: 200598748
- Wochenstunden: 40 Stunden
Our team bridges the gap between machine learning capabilities and user-facing products. We transform advanced ML technologies into valuable features that solve real customer problems. We're looking for a skilled Machine Learning Solutions Engineer who can work at the intersection of ML research, engineering, and product development to build production-ready AI systems that deliver measurable business value. If you're excited about making ML models work in real-world applications and can collaborate effectively across technical and non-technical teams, we'd love to talk with you!
Lebenslauf senden- Stellennummer: 200593774
- Wochenstunden: 40 Stunden
We’re idealists. Inventors. Forever tinkering with products and processes, always on the lookout for better. Whether you work at our global offices, offsite, or even at home, a job at Apple will be demanding. But it also rewards forward-thinking, creative thinking, and hard work. And none of us here would have it any other way. Does an exciting, dynamic, and fast-paced environment catch your attention? Consider joining our team! The Creativity Apps team is looking for an hands-on Analytics Instrumentation professional. We'd like to find a thought partner to the engineering and product team...
Lebenslauf senden- Stellennummer: 200566116
- Wochenstunden: 40 Stunden
Imagine what you could do here. At Apple, new ideas have a way of becoming outstanding products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The Creativity Apps QA team is seeking a Software ML QA Engineer to help us ensure that our iOS and macOS creativity applications are high-quality. We’re looking for an engineer to take projects from initial data mining and research through all stages of prototyping, development and final integration into our Apps' clients. You will have the unique and rewa...
Lebenslauf senden- Stellennummer: 200593390
- Wochenstunden: 40 Stunden
Imagine what you could do here. At Apple, new ideas have a way of becoming outstanding products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The Creativity Apps QA team is seeking a Software ML QA Engineer to help us ensure that our iOS and macOS creativity applications are high-quality. We’re looking for an engineer to take projects from initial data mining and research through all stages of prototyping, development and final integration into our Apps' clients. You will have the unique and rewa...
Lebenslauf sendenAIML Data Operations Annotation Analyst - French- 12 Month Contract
Software und Services08. Apr. 2025Cork- Stellennummer: 200598639
- Wochenstunden: 39 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 wa...
Lebenslauf senden- Stellennummer: 200598658
- Wochenstunden: 40 Stunden
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 Apple Media Products Data Science & Analytics organization is passionate about developing discerning insights and machine learning solutions to help continually improve these services and accelerate growth while maintaining a strong dedication to customer privacy. Our team is looking for a data scientist to help support the Video business t...
Lebenslauf senden- Stellennummer: 200554644
- Wochenstunden: 40 Stunden
Are you interested in creating products that use machine learning and computer vision in novel and interactive ways? Are you looking to apply your expertise to produce transformative features like Live Text and Scribble? Using generative models to build highly visible products that are getting into the hands of hundreds of millions of users? We are an applied machine learning team distributed between Zurich in Switzerland and Cupertino in California , searching for a motivated research lead engineer to help develop the future of ML models to power products around text and freeform drawing r...
Lebenslauf senden- Stellennummer: 200597737
- Wochenstunden: 40 Stunden
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 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. Here, you’ll do mo...
Lebenslauf senden- 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.
Lebenslauf senden- Stellennummer: 200596950
- Wochenstunden: 40 Stunden
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 foster 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 de...
Lebenslauf senden- Stellennummer: 200590558
- Wochenstunden: 40 Stunden
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 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. Here, you’ll do mo...
Lebenslauf senden- Stellennummer: 200598340
- Wochenstunden: 40 Stunden
At Apple, we strive to make great products that empower people and improve their lives. We believe Generative AI has the potential to unlock new experiences that were never possible before, and are looking for talented iOS engineers to realize that mission by expanding the capabilities of Apple products and platforms.
Lebenslauf senden- Stellennummer: 200581694
- Wochenstunden: 40 Stunden
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 is committed to delivering exceptional features and prioritizing user privacy. The Privacy Preserving Measurement & Machine Learning team collaborates with various departments across the company to develop state-of-the-art privacy-enhancing technologies for privacy-preserving measurement and machine learning. We are seeking an exceptional candidate to join o...
Lebenslauf senden- Stellennummer: 200598107
- Wochenstunden: 40 Stunden
Are you motivated by providing software security technologies to offer the best customer experience and help users protect their accounts? Are you a Machine Learning Engineer who enjoys crafting, implementing and operating analytical solutions? If so, we invite you to come and join the Apple Pay Security team in transforming the smartphone into a device that secures the user's digital life without sacrificing privacy! Our team employs predictive modeling and statistical analysis techniques and builds end-to-end solutions for improving security, fraud prevention, and operational efficiency ...
Lebenslauf senden- Stellennummer: 200594806
- Wochenstunden: 40 Stunden
Imagine what you could do here. At Apple, new ideas have a way of becoming great products very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The Music Creation Apps team (Logic Pro, GarageBand, MainStage) is looking for a talented Software/Data Engineer to help build the next generation of AI-driven features for our apps. Our highly cross-functional team works closely with Engineering, Product Design and QA, as well as other audio experts across Apple, to develop advanced machine learning AI algorithms, augment the music-making process a...
Lebenslauf senden- Stellennummer: 200558344
- Wochenstunden: 40 Stunden
We are looking for an experienced Machine Learning Engineer to help us extract value from manufacturing data and apply the AI/ML technologies (e.g. classification, regression via structured data and image data) into the real-world production. You will lead all the processes from requirement analysis, data collection, cleaning, and preprocessing, to training models and deploying them to production.
Lebenslauf senden- Cupertino
- Stellennummer: 200597871
- Wochenstunden: 40 Stunden
Imagine what you could do here! Do you care about how products perform, what makes them delightful yet keeps them safe and user-friendly in the deepest sense? Do you ever consider what care and intention put into Apple’s product design allows us to uphold user trust and confidence? The engineering team in Apple’s cutting-edge PACE (Product Analysis & Certification Engineering) group is responsible for ensuring our products meet international AI/ML, Product Safety, Environmental, EMC, and Wireless standards and regulations, but also exceed those requirements to befit Apple’s expectations. W...
Lebenslauf senden