AIML - Machine Learning Researcher, Multimodal Foundation Models

Apple, Inc.; Zürich; On-site; CHF 150,000 - 210,000; Full time

Job summary

Apple Inc. is seeking researchers to advance foundation models for multimodal understanding and generation. You will work with engineers and scientists to develop novel deep learning techniques and systems that power real-world Apple products.

You will publish results and contribute to the research roadmap while collaborating with global teams to deliver features that delight millions of users.

Qualifications

• Publications in top ML/NLP/CV venues (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, KDD, ACL)
• Strong multi-task, multi-modal ML background
• Proficiency in Python and at least one DL toolkit (PyTorch, TensorFlow, or JAX)
• PhD or equivalent practical experience in Computer Science or related field

Responsibilities

• Develop algorithms and systems for deep learning foundation models.
• Apply learning to real-world Apple products and features.
• Collaborate with cross-functional teams to ship impactful features.
• Prototype ideas and perform critical analysis of approaches.

Skills

Multi-modal ML

Publications in top ML venues

Python programming

Deep learning

Education

PhD or equivalent in CS or related field

Tools

PyTorch

TensorFlow

JAX

Job description

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. 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 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)
• 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
• Multi-modal perception for existing products and future hardware platforms
• On-device intelligence and learning with strong privacy protections
• Ability to quickly prototype ideas / solutions, perform critical analysis, and use creative approaches for solving complex problems.
• Ability to collaborate closely with globally distributed teams.

At Apple, we’re not all the same. And that’s our greatest strength. We draw on the differences in who we are, what we’ve experienced, and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. We will work with applicants to make any reasonable accommodations.

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