---
title: 'Computer Vision DATA Engineer - Fully Remote USD - Latin America based at Glacier'
canonical: 'https://feeny.ai/job/computer-vision-data-engineer-fully-remote-usd-latin-america-based-glacier-ev3ztacy7msj'
type: 'job'
last_seen: '2026-09-09'
---

# Computer Vision DATA Engineer - Fully Remote USD - Latin America based at Glacier

- **Company:** Glacier
- **Location:** Latin America Based
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-07-27
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/glacier/4421dbba-20c6-4318-8557-205af1a4b03c

## Job description

This role is FULLY REMOTE from Latin America - Pacific Time zone

Hey, we're Glacier! A Series A startup based in San Francisco tackling one of the world's most pressing problems: trash. Did you know that in the US, we send over half of our recyclables to the landfill? We're working to fix that. In doing so, we'll also be reducing carbon emissions, energy consumption, and depletion of natural resources.

Glacier builds custom sorting robots designed to sort apart recyclables as well as AI-powered business analytics that enable recyclers to superpower their plants and improve our society's circularity.

From major CPG companies like Colgate and Amazon https://www.packworld.com/sustainable-packaging/recycling/article/22953724/colgatepalmolive-amazon-glacier to municipal recycling facilities, our clients trust us to turn recycling data into actionable insights. Our technology has been recognized as one of TIME's Best Inventions https://time.com/collections/best-inventions-2025/7318523/glacier-recycling-robots/ and featured in a TIME documentary https://www.pmi.org/project-management-for-impact/sustainability-ai, TechCrunch https://techcrunch.com/podcast/glacier-is-training-ai-powered-recycling-robots/, Fortune https://fortune.com/2024/06/12/these-ai-enabled-recycling-robots-are-helping-businesses-be-more-sustainable/, and CBS https://www.cbsnews.com/sanfrancisco/news/glacier-recycling-robotics-ai-artificlal-intelligence-trash-waste/.

Here's where your expertise comes into play:

We're looking for a talented computer vision data engineer to own the data layer that powers our computer vision models. Great models start with great data, and you'll build the datasets, pipelines, and internal tools that let our ML team move fast and train on high-quality, well-curated data. This is a strong fit for someone who loves building software and internal tools as much as working with data..

Your responsibilities:

- Own our image and video dataset lifecycle: taxonomy, curation, collection workflows, and quality, so our models train on clean, well-structured, error-free data.
- Design and maintain the data pipelines that move, transform, version, and sync our datasets (e.g. DVC, annotation platforms, cloud storage).
- Build internal tools and software that make dataset creation, labeling, and curation faster and more reliable for the ML and labeling teams.
- Coordinate closely with our labeling team to ensure data is well curated, consistently annotated, and error-free.
- Improve how we collect and prioritize training data over time, including model-assisted and active-learning approaches.

Requirements:

- 2+ years of Machine Learning experience
- 2+ years building software applications or internal tools, with strong expertise in Python.
- 2+ years of experience working with image or video datasets.
- Hands-on experience designing and maintaining data pipelines (ETL/ELT, workflow orchestration, data versioning).
- Strong SQL and experience working with structured data.
- English fluency, as you'll be working with a US-based team (B2 or higher).

Nice to have:

- Computer vision background or experience supporting CV/ML teams.
- Web application development (React + Django, Nextjs)
- Experience with annotation platforms (Supervisely, CVAT, Label Studio) and data versioning tools (DVC).
- Experience with cloud storage (S3) and building backend services (FastAPI).
- Experience integrating open-source tooling and contributing to internal platforms.
- Experience working with US companies or clients.

## Compensation & Benefits

- $2,000-$3,500 per month/depending on your experience and interview performance
- 15 Days Paid Time Off + your National Holidays
- $500 for your remote set up + $100/mo for your wellness

Why Join Us?

- Mission-Driven Work – Be part of a company dedicated to sustainability and ending waste.
- Cross-Functional Impact – Work closely with product, engineering, field operations, and customer success to solve complex problems with meaningful outcomes.
- Backed to Succeed – Our founders bring experience from Facebook and Bain, and we’re supported by top-tier investors with deep technical and industry expertise.

## About Glacier

## Company Overview
- **One-liner**: Glacier builds next-generation AI-powered robots that make recycling more efficient, profitable, and circular by recovering high-value materials from waste streams.
- **Entity Type**: Private (Series A; total funding $29M)
- **Headquarters**: San Francisco, California, United States
- **Founded**: Not publicly available (co-founders began working on the concept around 2022)
- **Founders**: Rebecca Hu-Thrams and Areeb Malik

## Core Business
- **Primary industry**: Climate Technology / Recycling Robotics / Waste Management
- **Target customers**: Material Recovery Facilities (MRFs) and consumer product brands (B2B)
- **Mission or purpose**: “End waste by ensuring nothing valuable ends up in a landfill.”

## Products & Services
- **Glacier Robot**: A compact, AI-guided robotic arm that straddles conveyor belts, using a vacuum cup to pick and sort specific recyclables (plastics, film, paper, metals). It is trained on billions of real recycling images and can recognize 30+ material types. The arm can be deployed in hard-to-staff zones and helps MRFs improve yield and safety. [endwaste.io](https://endwaste.io/)
- **AI Brand Intelligence**: A real-time, item-level dashboard that gives brands visibility into exactly what packaging materials are flowing through the recycling stream, enabling them to track recovery rates and improve packaging design. [endwaste.io](https://endwaste.io/)
- **Vision-only system**: Glacier’s AI vision technology can also be deployed without the physical robot, providing material characterization and monitoring for facilities that do not yet need a picker. [geekwire.com](https://www.geekwire.com/2025/recycling-gets-smarter-ai-robots-from-amazon-backed-startup-are-sorting-waste-in-seattle/)

## Market Standing
- **Valuation/Total Funding**: $29M (as of May 2025 Series A; previously raised $4.5M seed in 2022) – [geekwire.com](https://www.geekwire.com/2025/recycling-gets-smarter-ai-robots-from-amazon-backed-startup-are-sorting-waste-in-seattle/)
- **Key Metric**: Annual revenue of approximately $3.3M (LinkedIn estimate) [linkedin.com](https://www.linkedin.com/company/endwaste)
- **Notable Investors/Partners**: Ecosystem Integrity Fund (lead, Series A), Amazon Climate Pledge Fund, New Enterprise Associates (NEA); key partner: Recology (Seattle) [geekwire.com](https://www.geekwire.com/2025/recycling-gets-smarter-ai-robots-from-amazon-backed-startup-are-sorting-waste-in-seattle/)
- **Growth Signals**: 44.4% year-over-year headcount growth (43 employees); robots deployed in California, Michigan, Arizona, Illinois, and Washington; vision-only systems in Indiana, New Jersey, Minnesota, Texas; actively developing technology for biopolyester (plant-based) plastics in partnership with Amazon; Washington State passed recycling legislation (SB 5284) expected to drive further demand. [linkedin.com](https://www.linkedin.com/company/endwaste) [geekwire.com](https://www.geekwire.com/2025/recycling-gets-smarter-ai-robots-from-amazon-backed-startup-are-sorting-waste-in-seattle/)

## Competitive Advantages
- **Proprietary AI**: Trained on billions of real-world recycling images to recognize a wide variety of materials with high accuracy (80-90% capture rate on target plastics).
- **Compact, rugged design**: Robots are smaller and built to retrofit existing conveyor lines without major facility changes.
- **Dual revenue model**: Sells both hardware/robots to MRFs and data/subscriptions (AI Brand Intelligence) to brands, creating sticky relationships on both sides.
- **Mission-driven credibility**: Strong brand alignment with circular economy goals; backed by Amazon and major climate investors.
- **Co-founder domain expertise**: Areeb Malik spent time working on the sorting line to understand real-world challenges; the company emphasizes human-machine collaboration, not replacement.

## Strategic Focus
- **Scale deployments**: Increasing robot installations across the U.S., especially in states with new extended producer responsibility (EPR) laws.
- **Innovate on new materials**: Developing sorting capabilities for plant-based biopolyesters used by Amazon Fresh and Whole Foods.
- **Deepen brand partnerships**: Expanding the AI Brand Intelligence platform to give consumer goods companies real-time circularity metrics.
- **International reach**: Already operating in 7 countries (U.S., Brazil, Argentina, Mexico, Peru, Canada, Singapore) [linkedin.com](https://www.linkedin.com/company/endwaste)

## Why Work Here
- **Impactful mission**: Employees directly contribute to reducing landfill waste and improving recycling rates.
- **Fast-growing team**: 44% headcount growth in the past year, with openings across engineering, operations, field support, and sales. [endwaste.io](https://endwaste.io/about/) [jobs.ashbyhq.com](https://jobs.ashbyhq.com/glacier)
- **Engineering culture**: Co-founders come from tech backgrounds (Malik was a senior software engineer at Facebook); employees work on cutting-edge AI, robotics, and computer vision.
- **Global and diverse team**: Workforce spans 7 countries with a mix of technical, operational, and sales roles.
- **Work location**: Headquarters in San Francisco; remote/hybrid policy not explicitly stated, but roles span multiple geographies. Most employees are in the U.S., with additional hubs in Latin America.

## Sources
1. [endwaste.io](https://endwaste.io/)
2. [endwaste.io/about/](https://endwaste.io/about/)
3. [linkedin.com/company/endwaste](https://www.linkedin.com/company/endwaste)
4. [geekwire.com](https://www.geekwire.com/2025/recycling-gets-smarter-ai-robots-from-amazon-backed-startup-are-sorting-waste-in-seattle/)
5. [jobs.ashbyhq.com/glacier](https://jobs.ashbyhq.com/glacier)

## Other roles at Glacier

- [Lead Installation Technician](https://feeny.ai/job/lead-installation-technician-glacier-san-francisco-d1venqjcjk20) — San Francisco, CA
- [Account Executive - Climate Tech (Consulting, Banking, or Waste Management BD Background)](https://feeny.ai/job/account-executive-climate-tech-consulting-banking-or-waste-management-bd-jznn76899f5t) — East Coast OR Midwest
- [Field Services Technician - Robotics startup](https://feeny.ai/job/field-services-technician-robotics-startup-glacier-east-coast-or-midwest-cyvhgy1p0rxt) — East Coast OR Midwest