Computer Vision Manager, Remote, Latin America

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August 9

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Glacier

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Artificial Intelligence • Robotics • Environmental Services

Glacier is a cutting-edge robotics company specializing in waste management solutions, particularly through advanced recycling technologies. Their innovative sorting robots are designed to efficiently identify and sort over 30 types of materials using proprietary AI technology, making recycling facilities more effective and economically viable. With a mission to reduce landfill waste and promote a circular economy, Glacier aims to decrease greenhouse gas emissions through enhanced recycling processes. Based in San Francisco, Glacier is dedicated to making a significant impact on climate change and waste management.

11 - 50 employees

🤖 Artificial Intelligence

📋 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 • 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 continue expanding our growing machine learning team — already composed of highly talented engineers across the Americas — by hiring a team lead based in Latin America to manage and mentor a fully remote group of direct reports. • Here's where your expertise comes into play: • We’re looking for a talented machine learning engineer to lead and grow our remote ML team, inheriting a small but high-performing group of engineers already making a strong impact. You’ll help mentor, coordinate, and guide the team as we continue to scale our core technologies. • Your responsibilities: • Coordinate the work of a distributed team of ML-engineers, ensuring work is completed on time and at high quality • Communicate clearly and effectively with the San Francisco based team to project plan, ensure timelines are met, and iterate on team structure and processes. • 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 • Partner with our founders on the long-term product roadmap; we have lots of ideas for what waste-ending technology to build next, and we’d love to hear yours too!

🎯 Requirements

• 1+ years experience managing a team of software or ML engineers • 2+ years experience developing machine learning models in a deep learning framework like Tensorflow/Keras or Pytorch. • 3+ years experience of Computer vision model development - especially object detectors is required. • 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 proficiency as you will be working with a US based team (C1 or higher) • Experience working with US companies or clients is a plus