AIML - Machine Learning Researcher, Foundation Models at Apple

Cupertino, California, United States -

Full Time

Start Date

Immediate

Expiry Date

21 Apr, 26

Salary

0.0

Posted On

21 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Deep Learning, Python, JAX, PyTorch, Tensorflow, Vision-Language Models, Image Generation, Video Generation, Reinforcement Learning, Data Pipelines, Evaluation Suites, Collaborative Environment, Algorithms, Techniques, Systems, Multimodal Models

Industry

Computers and Electronics Manufacturing

Description

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 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.

Responsibilities

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.