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Remote Computer Vision Engineer - Fully Remote USD - Latin America based

at Glacier

Posted 6 hours ago 1 applied

Description:

  • Glacier is a Series A startup based in San Francisco that builds in-house computer vision models to power two core products: a robot that identifies and sorts materials inside recycling facilities, and an analytics system that tracks recyclables and reports metrics to key stakeholders in the industry.
  • These technologies are already helping to divert tons of recyclables from landfills every day.
  • The company is expanding its machine learning team based in San Francisco and Latin America by hiring two talented ML Engineers.
  • The founders come from Facebook engineering and Bain consulting, and the company is backed by top-tier VCs with extensive technical and industry expertise.
  • There are several machines in production and a robust pipeline of upcoming deployments.
  • The role involves training and building computer vision models that power upcoming deployments, as well as building the infrastructure and tools to enable faster progress.

Requirements:

  • Candidates must have 2+ years of experience developing machine learning models in a deep learning framework like Tensorflow/Keras or Pytorch.
  • Computer vision model development, especially object detectors, is a MUST.
  • Experience with building machine learning infrastructure, including training pipelines, hyperparameter tuning, and experiment tracking, is required.
  • Strong expertise in Python and hands-on experience with SQL databases are necessary.
  • Proficiency with the SciPy ecosystem (numpy, pandas, matplotlib) and distributed computing in frameworks such as Ray is essential.
  • English fluency is required, as the candidate will be working with a US-based team (B2 or higher).
  • Experience working with US companies or clients is a plus.

Benefits:

  • The position offers the opportunity to work fully remote, specifically for candidates based in Latin America.
  • Employees will be part of a dynamic and innovative team that is making a significant impact in the recycling industry.
  • The role provides the chance to work with cutting-edge technologies and contribute to game-changing products.
  • Candidates will have the opportunity to collaborate with experienced professionals from top-tier backgrounds in engineering and consulting.