AIML - Machine Learning Researcher, Foundation Models - Jobs bei Apple (CH)
Date de publication :
12 mars 2025Taux d'activité :
100%Type de contrat :
Durée indéterminée- Lieu de travail :Zurich, Zurich
Résumé de l'emploi
Rejoignez notre équipe à Zurich pour un poste de chercheur en ML. Participez à des projets innovants et bénéficiez d'un environnement collaboratif.
Tâches
- Développer des modèles fondamentaux pour divers cas d'utilisation.
- Collaborer avec des ingénieurs pour résoudre des problèmes complexes.
- Appliquer des techniques d'apprentissage profond dans les produits Apple.
Compétences
- Doctorat en informatique ou expérience équivalente requise.
- Compétences en programmation Python et frameworks de ML.
- Expérience en recherche sur les modèles fondamentaux.
Est-ce utile ?
AIML - Machine Learning Researcher, Foundation Models
Zurich, Zurich, Switzerland
Machine Learning and AI
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.
Description
We believe that the most interesting problems in deep learning research arise when we try to apply learning to real-world use cases, and this is also where the most important breakthroughs come from. You will work with a close-knit and fast-growing team of world-class engineers and scientists to tackle some of the most challenging problems in foundation models and deep learning, including natural language processing, multi-modal understanding, and combining learning with knowledge. You will have opportunities to identify and develop novel applications of deep learning in Apple products. You will see your ideas not only published in papers, and also improve the experience of millions of users.
Minimum Qualifications
- Demonstrated expertise in deep learning with a publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, KDD, ACL, ICASSP, InterSpeech) or a track record in applying deep learning techniques to products
- Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow
- PhD, or equivalent practical experience, in Computer Science, or related technical field.
Key Qualifications
Preferred Qualifications
- Web-scale information retrieval
- Human-like conversation agent
- Multi-modal perception for existing products and future hardware platforms
- On-device intelligence and learning with strong privacy protections
- Ability to work in a collaborative environment.
