Computer Vision Engineer

Glacier is a Series A startup based in San Francisco that builds robots and image data collection devices to improve recycling facilities in the following ways:

These technologies are already helping to divert tons of recyclables (literally!) from landfills every day.

We’re looking for a talented machine learning engineer with 4+ years of experience developing object detection and segmentation models

to help us further improve these game-changing technologies.

About us:

About the role:

You will own the full ML model lifecycle—from data ingestion to production deployment and monitoring—across cloud, local, and on-prem infrastructure. You will be responsible for training computer vision models, building infrastructure for large-scale inference and data analysis, and driving new projects to use machine learning to reduce waste.

Your responsibilities:

What You Bring:

in a deep learning framework like Tensorflow/Keras or Pytorch.

model development with object detectors -

mandatory

Why Join Us?

– Be part of a company dedicated to sustainability and ending waste.

– Work cross-functionally with an expert, mission-driven team where your technical decisions shape both the product and the company.

– Our founders bring experience from Facebook and Bain, and we’re supported by top-tier investors with deep technical and industry expertise.

Compensation:

The total cash compensation range for this role is $150,000 - $190,000. In addition to cash compensation, Glacier also offers competitive equity compensation and benefits. The final compensation for this role will depend on many individualized factors, including job-related skills and knowledge, experience level, interview performance, and other factors.