---
title: 'Full Stack Engineer at Stratum AI'
canonical: 'https://feeny.ai/job/full-stack-engineer-stratum-ai-canada-x3an7jqt7b7q'
type: 'job'
last_seen: '2026-09-10'
---

# Full Stack Engineer at Stratum AI

- **Company:** Stratum AI
- **Location:** Canada
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2025-11-27
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/stratum-ai/4ba6a5f9-653f-469c-8e17-7b96a619714c

## Job description

Full-Stack Engineer (Frontend and Backend)

## About StratumAI

We're Stratum, a mining software company with machine learning models as our core product. Our 3D maps predict how gold, silver, copper, etc. are distributed (and how much!) using only small amounts of data, unconventional data processing, and proprietary ML protocols. Our work directly affects how much money a mine is going to make next week/month/year while reducing waste/cost. We\'re supported by Founders Fund, Aramco, Builders VC, Y Combinator, and Ilya Sutskever, former Chief Scientist at OpenAI, who have recognized the potential of our industry-disrupting technology. We\'re at an inflection point where mining companies are coming to us, and we need a skilled Full-Stack Engineer to help prioritize features and drive our product roadmap!

## Role Overview

We are looking for a self-driven Full-Stack Engineer to join our Platform team. This role focuses on developing and enhancing our web-based dashboard platform where mining companies upload data, visualize 3D resource models, and access our AI-generated insights. You will be responsible for both frontend user interfaces and backend systems that power our platform, ensuring seamless data flow from mining operations to our AI models and back to our clients. This position requires strong expertise in both frontend and backend technologies, with experience in building data-intensive web applications. This is a remote-first position, with a preference for applicants based in Canada.

## Key Responsibilities

Frontend:

- Develop and maintain our web-based dashboard that serves as the primary interface between clients and our AI technology
- Create intuitive data upload interfaces supporting CSV and customizable formats for mining datasets
- Implement interactive 3D visualizations of block models with xyz coordinates and predicted values
- Build responsive, user-friendly dashboards that display model results, analytics, and performance metrics
- Ensure compatibility with mining industry software (Leapfrog, Geovia GEMS, Vulcan, etc.)
- Optimize interfaces for real-time access from both site and corporate locations

Backend:

- Design and develop RESTful APIs and services that connect our frontend with AI models
- Implement secure data storage and processing pipelines on AWS
- Create efficient systems for model delivery on weekly to monthly update schedules
- Develop version control and data exchange mechanisms within our SAIGE platform
- Integrate with our proprietary deep learning systems to present results through the dashboard
- Implement monitoring systems to track model quality and performance over time

General:

- Collaborate with ML engineers, mining experts, and product teams to develop features that address client needs
- Participate in code reviews and ensure high-quality implementation
- Identify opportunities for performance optimization and technical improvements
- Document systems for knowledge sharing and maintenance
- Communicate technical concepts to non-technical stakeholders

Technical Competencies & Requirements

- 5+ years of experience in full-stack web development
- Strong proficiency in frontend technologies:
- JavaScript/TypeScript and modern frameworks (React preferred)
- HTML5, CSS3, and responsive design principles
- Demonstrated backend development capabilities:
- Experience with cloud platforms (AWS)
- Knowledge of database systems (SQL and NoSQL)
- Familiarity with RESTful API design and implementation
- Experience building web applications that handle complex data visualization
- Understanding of CI/CD pipelines and DevOps practices
- Ability to work with development teams to integrate frontend with ML systems
- Technical communication skills - able to explain complex systems to non-technical stakeholders
- Experience with version control systems (Git)
- Demonstrated ability to frame technical problems within business/domain contexts
- Ability to solve real-world problems in industries outside your professional domain

## Nice to Have

- Experience with 3D visualization or geospatial data
- Experience with data visualization libraries (D3.js, [Three.js](http://three.js), Pixijs, Babylon)
- Knowledge of mining software or geological data formats
- Background in resource modeling or understanding of geological sciences
- Experience implementing security best practices (SOC 2 compliance)
- Familiarity with Python (our ML stack)
- Experience with containerization (Docker, Kubernetes)
- Additional language proficiency for international client support

Culture Fit We are looking for people who are:

- Self-driven: You thrive on autonomy and enjoy solving complex problems to get the most impactful solution.
- Detail-oriented: You can identify the one line that differentiates good code from bad code.
- Team-oriented: You value collaboration and communication knowing that the best solutions often come from working closely with others.
- Curious about real-world problems: You have interest in learning how industries outside of your professional domain operate.
- Flexible with time: You\'re open to working not long but occasionally odd hours to accommodate overseas clients (some weekend calls may be required).

If you\'re an exceptional engineer interested in helping make our vision a reality, we look forward to reviewing your application and working together.

## About Stratum AI

## Company Overview
- **One-liner**: Stratum AI applies deep-tech AI and machine learning to improve decision-making in mining operations by creating more accurate resource, grade control, geometallurgical, and geotechnical models.
- **Entity Type**: Private (Seed stage)
- **Headquarters**: Toronto, Ontario, Canada
- **Founded**: 2018
- **Founders**: Farzi Yusufali (Co-founder)

## Core Business
- Primary industry/industries: Mining technology (MiningTech), Artificial Intelligence, Deep Tech
- Target customers: B2B enterprise — producing mines globally, including operations in North America, Latin America, and Australia
- Mission or purpose statement: "To help production-mines make better decisions by applying machine learning to existing geological and operational data" — extracting more value from the data they already have, throughout the life of a mine.

## Products & Services
- **SAIGE Technology Platform**: AI-driven resource modeling platform that creates high-density multivariate geostatistical models for gold, copper, and other minerals. It supports resource, grade control, geometallurgical, and geotechnical models, enabling dynamic reconciliation and error correction between plan and production.
- **Drill Targeting & Brownfield Expansion**: Uses AI to optimize drillhole spacing and improve confidence in brownfield exploration, reducing drilling costs.
- **Geometallurgical Modeling**: Predicts recovery, hardness, fines generation, and other processing-related parameters to optimize feed blending strategies.
- **Geotechnical Modeling**: Improves surface geotechnical characterization, identifies high-risk zones before instabilities occur, and integrates geotechnical drilling data with monitoring sensors and bench mapping.

## Market Standing
- **Valuation/Market Cap**: Not publicly available
- **Total Funding**: USD 125,000 (across 2 seed rounds — Pre-Seed in June 2019 and Seed in March 2020), with additional seed round in August 2020 with 4 investors
- **Notable Investors/Partners**: Details on specific lead investors not publicly named; the company has completed at least 2 funding rounds
- **Growth Signals**: Headcount grew 37.5% year-over-year; currently employs ~50 people. The team spans 5 countries (Canada, US, Chile, Peru, Australia). Proven results released via ASX filings showing: -58% in deviations, 10% yield gained, -41% waste produced, +6% CIL material, +20% high-grade stockpile grade, ~25% fewer drilling requirements.

## Competitive Advantages
- **Proprietary SAIGE Technology**: The world’s first AI mineral resource modeling company, using deep-tech AI for production-phase mines — a highly underserved, high-value niche.
- **End-to-End Deployment**: ML engineers work directly with mine teams, taking ownership from modeling through deployment in real projects.
- **Proven Economic Impact**: Delivers measurable results (e.g., 10% yield gain, -41% waste reduction, -58% deviation reduction) as verified by ASX public filings.
- **Multivariate Modeling**: Goes beyond grade to model hardness, fines generation, and other processing parameters — a key differentiator in the industry.

## Strategic Focus
- Continue scaling production-mine deployments globally, particularly in gold and copper.
- Expand geometallurgical and geotechnical modeling capabilities to reduce operational risk.
- Deepen presence in brownfield exploration, where operational decisions have the greatest economic impact.
- Grow team across North America, Latin America, and Australia with a focus on applied ML engineers, geologists, and metallurgists.

## Why Work Here
- **Mission-Driven**: Opportunity to directly improve mining efficiency, reduce waste (up to 41%), and have a measurable environmental impact — not just build abstract models.
- **Applied ML at Scale**: Engineers work on end-to-end systems that go from research to production deployment in real mines, with ownership and autonomy.
- **Culture**: Values ownership, autonomy, and practical problem-solving. Small team (~50 people) with a flat structure.
- **Remote/Hybrid**: Hybrid workspace (employees engage in a combination of remote and on-site work); many roles are fully remote across Canada, Australia, Chile, and Peru.
- **Global Reach**: Work with mines and teams across 10 countries and 4 offices (Toronto, plus teams in Latin America and Australia).
- **Fast-Growing**: 37.5% employee growth YoY, with recent roles posted for MLOps engineers, forward-deployed ML engineers, full stack engineers, 3D visualization developers, and director of business development.

## Sources
1. [stratum.ai](https://www.stratum.ai/)
2. [stratum.gs (About)](https://stratum.gs/about)
3. [stratum.gs (Careers)](https://stratum.gs/careers)
4. [Built In](https://builtin.com/company/stratum-ai)
5. [LinkedIn](https://ca.linkedin.com/company/stratumai)
6. [Jobs.ashbyhq.com/stratum-ai](https://jobs.ashbyhq.com/stratum-ai)

## Other roles at Stratum AI

- [Brand and Marketing Officer (contract)](https://feeny.ai/job/brand-and-marketing-officer-contract-stratum-ai-canada-mbxkma3w4v34) — Canada
- [Frontend 3D Visualization Developer](https://feeny.ai/job/frontend-3d-visualization-developer-stratum-ai-canada-qdk7thse4q9h) — Canada
- [3D Product Interface Designer (Contractor)](https://feeny.ai/job/3d-product-interface-designer-contractor-stratum-ai-canada-fqaa3tfdxvpd) — Canada
- [Machine Learning Ops Engineer](https://feeny.ai/job/machine-learning-ops-engineer-stratum-ai-canada-v6ak6tbb44s2) — Canada
- [Lead Metallurgist / Mineral Processing Engineer (Canada or Australia)](https://feeny.ai/job/lead-metallurgist-mineral-processing-engineer-canada-or-australia-stratum-ai-nhry3ne3nqz6) — Canada
- [Lead Metallurgist / Mineral Processing Engineer (Middle East & North Africa)](https://feeny.ai/job/lead-metallurgist-mineral-processing-engineer-middle-east-north-africa-stratum-y9cqjsqdxm42) — Middle East & North Africa
- [Director, Business Development (Australia)](https://feeny.ai/job/director-business-development-australia-stratum-ai-australia-vxmwjx6w1ddt) — Australia
- [Director, Business Development (North America)](https://feeny.ai/job/director-business-development-north-america-stratum-ai-north-rp9w07byqesb) — North, United States
- [Forward Deployed Machine Learning Engineer](https://feeny.ai/job/forward-deployed-machine-learning-engineer-stratum-ai-canada-dkdsc2dtknsx) — Canada
- [Resource Geologist](https://feeny.ai/job/resource-geologist-stratum-ai-australia-fmrscn800zcv) — Australia