[Seattle] Senior Machine Learning Engineer, Computer Vision

Company: NewsBreak
Location: Bellevue, Washington, United States
Type: Full-time
Posted: 19.MAY.2021
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Summary

Description About News Break News Break defines a new way for users to engage with local news. Since its founding in 2015, it has grown by...

Description

Description

About News Break

News Break defines a new way for users to engage with local news. Since its founding in 2015, it has grown by leaps and bounds. We're the nation's largest intelligent local news platform!

News Break is ranked the #1 news app on both iOS and Android in 2020 with 45M+ monthly active users.

We're a series-C startup headquartered at Mountain View, California.

For more information, visit

About The Role

Responsibilities

  • Develop highly scalable machine learning models to solve problems such as image/video classification, image/video content understanding and recommendation
  • Develop in-house machine learning tools and pipelines to support fast experimentation of machine learning models
  • Work with other engineers to identify and solve machine learning problems
Requirements

Minimum Qualifications
  • Experience in one or more of the following areas: deep learning, computer vision, recommendation systems, and data mining
  • Experience with machine learning frameworks such as TensorFlow, PyTorch or MXNet
  • Expert knowledge in C/C++ and Python
Preferred Qualifications
  • MS degree in Computer Science or related quantitative field with 3+ years of machine learning related work or research, or PhD degree in Computer Science or related quantitative field
  • Industry experience with developing and deploying machine learning models in production
  • Contributions to research communities/efforts, including publishing papers in machine learning (AAAI, ICLR, NeurIPS, ICML, KDD, CVPR)
Benefits

We provide a highly competitive compensation package including base salary, bonuses, and stock options. Benefits include great Medical, Dental and Vision. A flat organization and family-like culture makes this a perfect environment to make huge impact on our product and grow your skill set.

 
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