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
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 (literally!) from landfills every day.
We’re thrilled to expand our incredible machine learning team based in San Francisco and Latin America by hiring two talented ML Engineers.
About us:
Our founders come from Facebook engineering and Bain consulting.
We’re backed by top-tier VCs with extensive technical and industry expertise.
We have several machines in production and a robust pipeline of upcoming deployments.
Here's where your expertise comes into play:
We’re looking for a talented machine learning engineer to help us build our game-changing technologies. You will be responsible for training and building the computer vision models that power our upcoming deployments, as well as helping to build the infrastructure and tools to enable us to move faster.
Your responsibilities:
Drive the performance of our ML models. That includes: building ML infrastructure, improving current model performance, fine tuning our training process, and ensuring we can easily collect high quality training data.
Build automation and experimentation into our full ML lifecycle, enabling us to deploy systems and create impact at scale.
Coordinate with our labeling team to ensure we’re working with error-free and well curated data
Requirements:
2+ years 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 (training pipelines, hyperparameter tuning, experiment tracking, etc).
Strong expertise in Python and hands-on experience in SQL databases.
Proficiency with the SciPy ecosystem (numpy, pandas, matplotlib) and distributed computing in frameworks such as Ray.
English Fluency as you will be working with a US based team (B2 or higher)
Experience working with US companies or clients is a plus
Top Skills
What We Do
Glacier's mission is to end waste. Sound ambitious? We agree. But the UN estimates that we only have until 2030 to change our consumption patterns before we do irreversible damage to the environment, so we’re of the opinion that now is the time for big bets.
We’re starting in the world of recycling, which has a huge opportunity for impact. Americans send 1.4 million tons of waste to recycling facilities every week (that’s about 4 Empire State Buildings, or 1.5 Golden Gate Bridges). We’re also really bad at it: 25% of what we put in our recycling bins isn’t even recyclable. These recycling facilities make a living by sorting our jumbled-up waste and they need to do it cheaply and accurately. Otherwise they go out of business and our recycling goes straight to the landfill. Even so, recycling facilities today use processes that are highly manual, expensive, and error prone. We plan to revolutionize the way these facilities use technology, to make them more streamlined, accurate, and profitable - which means more recyclables avoid the landfill, and more of our natural resources are protected.
Our growing team draws from the brightest and most passionate professionals across robotics, manufacturing, software, AI, and market strategy. We’re united by our deep-rooted passion to make a big environmental impact, and we’re looking for other mission-driven, creative thinkers to help us right the ship on this truly global issue.
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