AIML - Machine Learning Researcher, Multimodal Foundation Models — Apple Retail Switzerland
- Location
- Zurich
- Contract
- full-time
- Posted
- 21 days ago
Role overview
Summary
Apple is where individual imaginations gather together, committing to the values that lead to great work.
We are a group of engineers and researchers building multimodal foundation models at Apple, with a particular focus on image understanding and generation.
- Summary
- Apple is where individual imaginations gather together, committing to the values that lead to great work.
Application process
- We build infrastructure, datasets, and models with fundamental general capabilities and work with a cross-functional partners to apply these models to ship features to millions of users.
- 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 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)
- Deep understanding of multi-task, multi-modal machine learning domain
- 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 Preferred Qualifications A track record in applying deep learning techniques to shipping products
Additional details
- 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.
- You will see your ideas not only published in papers, and also improve the experience of millions of users. Minimum Qualifications
- PhD, or equivalent practical experience, in Computer Science, or related technical field A track record in applying deep learning techniques to shipping products
Notes and original content
- Description
- You will see your ideas not only published in papers, and also improve the experience of millions of users.
- Minimum Qualifications
- PhD, or equivalent practical experience, in Computer Science, or related technical field
- A track record in applying deep learning techniques to shipping products
Questions about this listing
What salary does Apple Retail Switzerland offer for this role?
Apple Retail Switzerland lists CHF 73'500 - 111'500 gross per year for this position in Zurich. This is the salary published in the original listing (or, when the employer omits a figure, a realistic estimate for the role and sector) — the calculator on this site converts it to your actual net take-home once cross-border tax and social contributions are applied.
Is this a full-time role, and what type of contract does Apple Retail Switzerland offer?
This listing is a full-time position. The contract type shown here comes directly from the employer's original posting; always confirm exact hours, notice period and probation length with Apple Retail Switzerland during the application process, since these details can vary by role even within the same contract category.
Do I need a cross-border work permit for a role in Zürich?
EU/EFTA residents living in the border zone of the country adjoining Canton Zürich can apply for a G permit; the Swiss employer files it with that canton's migration office after the contract is signed. Border-zone rules and processing times vary by neighbouring country and canton, so confirm the specifics with Zürich's cantonal migration office or with HR during the application.
How do I apply for this position at Apple Retail Switzerland?
Use the "Apply now" button on this page — it links directly to Apple Retail Switzerland's original listing at jobs.apple.com, so your application goes straight to the employer's own applicant-tracking system. Frontaliere Ticino does not collect or forward applications itself.
