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AIML - Machine Learning Researcher, Foundation Models at Apple
Cupertino, California, United States -
Full Time

Start Date

Immediate

Expiry Date

02 Feb, 26

Salary

0.0

Posted On

04 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Deep Learning, Natural Language Processing, Multi-Modal Understanding, Reinforcement Learning, Python, JAX, PyTorch, Tensorflow, Algorithms, Techniques, Systems, Foundation Models, Knowledge Integration, Collaboration, Research, Publication

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 natural language processing, multi-modal understanding, and combining learning with knowledge. MINIMUM QUALIFICATIONS Demonstrated expertise in deep learning with publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, COLM, ACL, NAACL, EMNLP, 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 Ability to work in a collaborative environment. PhD, or equivalent practical experience, in Computer Science, or related technical field. PREFERRED QUALIFICATIONS Code Large language models. Reinforcement learning, on-policy distillation. Post-training, mid-training large language models. LM Context lengthening.
Responsibilities
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. This includes applying learning to real-world use cases and developing algorithms and systems that enhance Apple products.