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

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.