---
title: 'Forward Deployed Machine Learning Engineer at Stratum AI'
canonical: 'https://feeny.ai/job/forward-deployed-machine-learning-engineer-stratum-ai-canada-dkdsc2dtknsx'
type: 'job'
last_seen: '2026-10-15'
---

# Forward Deployed Machine Learning Engineer at Stratum AI

- **Company:** Stratum AI
- **Location:** Canada
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2025-05-11
- **Last confirmed live:** 2026-10-15
- **Apply:** https://jobs.ashbyhq.com/stratum-ai/985fe333-04d7-47a4-beab-1f334df65188

## Job description

We are looking for a Forward Deployed ML Engineer, with an interest in solving difficult real-world problems to join our Technical Services team. This role will require extensive working with custom architectures on PyTorch. Previous experience working with PyTorch on complex Convolutional Neural Network, Graph Neural Network, and/or Transformers is expected. This role is equivalent to the Delta team Forward Deployed Engineer role at Palantir that we would recommend you read up on. This is a remote-first position, with a preference for applicants based in Canada.

Technical Services Team Responsibilities

- Conducting foundational research to design and implement more accurate AI resource modeling techniques that we can use for many different mining operations.
- Applying and refining existing architecture to train resource models for a specific mine.
- Communicating the quality, metrics, performance, and methodology of our models to non-ML technical external stakeholders.
- Identifying new opportunities to improve mining operations (such as modelling other parameters) for a given client and getting their support in doing so.
- Tracking model performance of deployed models over time and identifying ways to make existing models better.

## Role Responsibilities

- Adapt Stratum’s deep learning models to a given mine.
- Develop and maintain high-quality machine learning code using Python.
- Unlock ways to create better resource and metallurgical models with deep learning for one specific mine, or sometimes mines in general
- 60% of your time is dedicated to applying ML to one specific mine (applied ML), 40% is dedicated to applying ML to mines in general (foundational ML).
- Take part in at least 2 mine visits a year and engage with our clients on the ground
- Over time, grow into a senior engineer who can identify additional ways our technology can be leveraged with our existing clientele
- Thrive in ambiguity with complex, large datasets and evolving client needs - able to shape these into clear, actionable and structured actions

## Role Requirements

- 2+ years of industry machine learning experience.
- Excellent proficiency in implementation of custom neural network architectures in Python (Pytorch).
- The ideal candidate will have hands-on experience with various neural network types
- Strong foundational knowledge of deep learning with an emphasis on transformers, convolutional neural networks, and/or graph neural networks.
- Adept at working with a high degree of autonomy and initiative to solve complex problems.
- Strong technical communication skills (oral + visual).
- You will be responsible for conveying to other non-machine learning engineers in the mining industry why our models are good. You will work with geologists and business development roles to tell the story.

## Nice to Have

- Ability to speak another language with high proficiency.

Our Tech Stack

- AI Stack: Python & Pytorch
- Backend: Python (FastAPI) + Pydantic + DynamoDB
- Infrastructure: AWS, Azure

## About Stratum

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. Our long-term vision is to build a massive AI engine capable of making every decision in a mining operation, down to moving individual rocks. If you’re an exceptional engineer interested to helping make this 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

- [Full Stack Engineer](https://feeny.ai/job/full-stack-engineer-stratum-ai-canada-x3an7jqt7b7q) — Canada
- [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
- [Resource Geologist](https://feeny.ai/job/resource-geologist-stratum-ai-australia-fmrscn800zcv) — Australia