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Celesta Portfolio Careers

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Senior Machine Learning Engineers

Eta Compute

Eta Compute

Software Engineering
San Francisco, CA, USA
Posted on Monday, November 29, 2021

Responsibilities

The successful candidates will be knowledgeable and innovative engineers who take pride in solving challenging problems. Responsibilities include:

  • Solve real-world problems using your machine learning skills
  • Participate in cutting-edge research for computer vision applications.
  • Drive end-end machine learning developments from use-case analysis to data curation, training and optimization
  • Develop and implement video and image processing methods
  • Work on models that will push the current state of computer vision/machine learning
  • Optimize models to fit within resource constrained embedded systems

Qualifications

  • 8+ years experience solving problems using ML
  • Experience with at least one deep-learning environment such as Caffe, TensorFlow, Tensorflow Lite or Keras
  • Proven success in full-cycle ML development, from data gathering through training and optimization
  • Strong theoretical and practical understanding of deep-learning, Convolutional Neural Networks (CNN)
  • Experience with ML optimization techniques, for example quantization, pruning, and distillation

Preferred

  • Experience in implementing object detection/classification including traditional handcraft feature-based methods in the image processing domain ((HOG, SIFT, Gabor filter, etc.).
  • Experience with machine vision libraries for software development, such as OpenCV
  • C/C++ and Python coding and debugging skills, familiarity with multi-threaded programming