Apple | AI/ML – Machine Learning Researcher, Information Intelligence | New York, NY | United States | BigDataKB.com | 17 Oct 2022

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Job Location: New York, NY

Summary

Posted: Sep 14, 2022
Weekly Hours: 39
Role Number:200425121
We are a group of engineers and researchers responsible for information intelligence at Apple. We build systems to connect Apple users to information in products ranging from search and Siri to on-device intelligence. We are looking for researchers who are passionate about developing algorithms, techniques, and systems that delight millions of users in Apple products and in the process push the frontier of deep learning.

Key Qualifications

  • Demonstrated expertise in deep learning with publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, 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 PyTorch, Tensorflow, or Jax
  • Ability to work in a collaborative environment.

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 deep learning and information intelligence, including natural language processing, multi-modal understanding, and combining learning with knowledge. Example applications include (but are not limited to) – Web-scale information retrieval – Human-like conversation agent – Multi-modal perception for existing products and future hardware platforms – On-device intelligence and learning with strong privacy protections Further, you will have opportunities to identify and develop novel applications of deep learning in Apple products. You will see you ideas not only published in papers, but also improve the experience of millions of users.

Education & Experience

PhD, or equivalent practical experience, in Computer Science, or related technical field

Additional Requirements




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