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AIML - Machine Learning Researcher, Foundation Models
full-time•Seattle, New York, Cupertino
About this role
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.
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 vision-language modeling, image and video generation, and Building data pipelines and evaluation suites for visual understanding and generation at scale.
Demonstrated expertise in deep learning with a publication record in relevant conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, COLM, ACL, NAACL, EMNLP, KDD, ACL) 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 Ability to work in a collaborative environment. PhD, or equivalent practical experience, in Computer Science, or related technical field.
Experience training or adapting vision-language models Experience with image/video generation or editing Post-training, mid-training large language models or multimodal models. Reinforcement learning, on-policy distillation. Further, 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, but also improve the experience of billions of users.
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 vision-language modeling, image and video generation, and Building data pipelines and evaluation suites for visual understanding and generation at scale.
Minimum Qualifications
Demonstrated expertise in deep learning with a publication record in relevant conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, COLM, ACL, NAACL, EMNLP, KDD, ACL) 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 Ability to work in a collaborative environment. PhD, or equivalent practical experience, in Computer Science, or related technical field.
Preferred Qualifications
Experience training or adapting vision-language models Experience with image/video generation or editing Post-training, mid-training large language models or multimodal models. Reinforcement learning, on-policy distillation. Further, 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, but also improve the experience of billions of users.
What you'll do
- You will work with a team to tackle challenging problems in foundation models and deep learning. This includes vision-language modeling, image and video generation, and building data pipelines.
About Apple
We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. And the same innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it. This is where your work can make a difference in people’s lives. Including your own.
Apple is an equal opportunity employer that is committed to inclusion and diversity. Visit apple.com/careers to learn more.
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Frequently Asked Questions
What does a AIML - Machine Learning Researcher, Foundation Models do at Apple?
As a AIML - Machine Learning Researcher, Foundation Models at Apple, you will: you will work with a team to tackle challenging problems in foundation models and deep learning. This includes vision-language modeling, image and video generation, and building data pipelines..
Is the AIML - Machine Learning Researcher, Foundation Models position at Apple remote?
The AIML - Machine Learning Researcher, Foundation Models position at Apple is based in Seattle, Washington, United States and New York, United States. Contact the company through Clera for specific work arrangement details.
How do I apply for the AIML - Machine Learning Researcher, Foundation Models position at Apple?
You can apply for the AIML - Machine Learning Researcher, Foundation Models position at Apple directly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process.