Machine Learning Engineer

Industry: Technology
Company size: 1-10

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Job description

A rapidly-growing company that is utilizing advanced applied deep learning technologies to reinvent the time-consuming process of checking rope for defects, is looking for a Machine Learning Engineer. The engineer will be responsible for monitoring, optimizing, and performance-tuning the platform. Using data-driven judgments, the company is creating automated inspection technologies that enable operators to replace or repair worn-out ropes and lines before major tragedies occur. This will be a long-term, full-time position requiring 4+ hours of overlap with the PST time zone. 


Job Responsibilities:

  • Lead the design of ML components and their interaction with other subsystems while working closely with product managers
  • Analyze risk models continuously, and improve current models as needed
  • Present technical information about machine learning deployment, including real-time modeling, and recommended practices
  • Work on implementing deep learning and machine learning models

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 5+ years of relevant experience as a Machine Learning Engineer
  • Demonstrable experience with Machine and Deep Learning technologies
  • Prolific experience with Computer Vision and Image Detection
  • Extensive experience working with Image Analysis and Feature extraction
  • Nice to have some knowledge of CNNs, Tensorflow, and PyTorch
  • Excellent spoken and written English communication skills

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In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

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