Apple | Deep Learning Engineer – AutoML and Multi-Task Learning | Seattle, WA | United States | BigDataKB.com | 14 Oct 2022

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Job Location: Seattle, WA

Summary

Posted: May 11, 2022
Role Number:200377875
Do you have a passion for deep learning and computer vision problems? We are looking for someone who thrives on collaboration and wants to push the boundaries of what is possible today! Join our team of committed deep learning engineers in the Semantic Understanding and Reasoning group! We are a centralized applied research and engineering organization responsible for developing real-time on-device Computer Vision and Machine Perception technologies across Apple products. As a member of the Semantic Understanding and Reasoning group you will develop new technologies in the area of scene understanding and reasoning for Apple’s next generation products.

Key Qualifications

  • Experience in Neural Architecture Search & Multi-task learning in the computer vision domain
  • Experience with modern network architectures for computer vision and/or natural language processing tasks Consistent track record of researching, inventing and/or shipping advanced machine learning algorithms
  • Solid mathematical foundation of machine learning and deep learning techniques
  • Strong coding skills in python and C/C++
  • Proficiency in at least one major machine learning framework, such as Tensorflow, PyTorch, etc.
  • Creativity and curiosity for solving highly complex problems
  • Excellent communication and collaboration skills

Description

We are looking for a skilled deep learning and computer vision engineer for our team. In this role, you will perform research and development work to design algorithms for challenging real world problems in the domain of scene understanding and reasoning.

Education & Experience

PhD degree with focus deep learning or alternatively an MS degree with 3+ years of industry experience

Additional Requirements

  • Research, design and implementation of machine learning/deep learning algorithms
  • Work on AutoML & multi-task learning projects with cross-functional impact
  • Optimizing algorithms for real time and low power constraints
  • Support algorithm integration into Apple products
  • Collaboration with teams across Apple with multidisciplinary skills




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