Machine Learning Engineer / Data Scientist

Cupertino, CA 95014
  • Job Code
    200208759
Summary

Summary

Posted: Nov 20, 2020

Role Number:200208759

As a engineer / scientist in the Ground Truth Team, you will be part of a team building infrastructure and tools for exciting new ...Summary

Summary

Posted: Nov 20, 2020

Role Number:200208759

As a engineer / scientist in the Ground Truth Team, you will be part of a team building infrastructure and tools for exciting new technologies that will shape our future. We build web services that work at scale to support new products and also enable Machine Learning development workflows. We are looking for a web engineer who can build APIs, front-ends, and tools that interact with cutting-edge Machine Learning services. You will be part of every stage of development from concept to deployment.

Key Qualifications

  • Strong coding skills in Python.
  • Deep knowledge of data science algorithms including decision trees, probability networks, association rules, clustering, regression, and neural networks.
  • Familiarity with database modeling and data warehousing principles with a working knowledge of SQL.
  • Understanding of data structures, software design principles and algorithms.
  • Efficient data annotation building.
  • Building machine learning models that assist humans in reducing labeling efforts.
  • Implement efficient tensor operations and DNN training algorithms.
  • Previous publication experience in conferences such as CVPR, ICCV, NeurIPS, and ICLR will be strongly considered.
  • Experience with Python scientific libraries like numpy, scipy.
  • Experience with one or more deep learning framework such as Tensorflow, PyTorch or Keras is a must.

Description

The Video Computer Vision org is a centralized applied research and engineering organization responsible for developing real-time on-device Computer Vision and Machine Perception technologies across Apple products. We balance research and product to deliver Apple quality, state-of-the-art experiences, innovating through the full stack, and partnering with HW, SW and ML teams to influence the sensor and silicon roadmap that brings our vision to life. Examples include FaceID, Animoji/Memoji, Scene Understanding, People Understanding and Positional Tracking (VIO/SLAM).

Education & Experience

BS or MS CS/CE/EE (or equivalent) in the area of computer science, computer vision, imaging science, optics, is helpful

Additional Requirements

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Machine Learning Engineer / Data Scientist

Apple, Inc.
Cupertino, CA 95014

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