VRIFY is positioned at the forefront of the mining industry's transformation, leveraging cutting-edge AI to revolutionize mineral exploration. With a focus on AI drill targeting, VRIFY is expanding its capabilities by synthesizing vast amounts of geological information. This integration enhances the precision and efficiency of exploration strategies, offering our clients innovative solutions that depart from traditional methods.
Our mission extends beyond technological advancement. We are committed to transforming how mining companies engage with investors, aiming to foster a more transparent and accountable mining investment ecosystem. VRIFY's technology enables immersive 3D and 360° presentations that provide investors with a vivid and detailed visual context, making complex geological data accessible and engaging.
As we continue to refine our AI-driven solutions, VRIFY remains dedicated to driving innovation and excellence in the mining sector, ensuring our clients and investors are well-equipped to succeed in a rapidly evolving market.
The Role
You'll build the ML systems that turn complex geospatial data into actionable predictions for mineral exploration — from ingestion and feature engineering through deployment, monitoring, and reliability. You'll work on high-dimensional spatial datasets, productionize models, and bring modern AI (Vision Transformers, GNNs, Hugging Face, Earth Engine) into our pipelines.
This is a senior IC role on a small, high-trust team. We're looking for someone who operates independently, communicates consistently, and is genuinely curious about the mining domain. Remote-first within Canada, with consistent availability during business hours.
What You'll Do
- Design and deploy ML models for geospatial applications, including Vision Transformers and GNNs on high-dimensional raster and spatial datasets.
- Build scalable, automated data pipelines — preprocessing, feature engineering, sampling, and spatial cross-validation.
- Own end-to-end ML workflows: scheduling, monitoring, alerting, retraining, and reliability.
- Develop custom geospatial models and features that capture real-world spatial patterns.
- Apply model interpretability techniques to understand spatial patterns and feature influence.
- Use Google Earth Engine, Hugging Face, and similar tools to scale geospatial AI in production.
Must-Haves
- BSc, MSc, or PhD in Computer Science, Engineering, Geoscience, or related field (or equivalent practical experience).
- 5+ years in ML, data science, or software development, including production ML systems.
- Strong Python and modern ML frameworks (PyTorch, TensorFlow, JAX, scikit-learn).
- Deep understanding of ML architectures (transformers, vision transformers, clustering, ensembles).
- Experience applying deep learning (Vision Transformers, GNNs) to geospatial problems.
- Hands-on experience working with satellite imagery, raster data, and vector geospatial data — including coordinate reference systems, raster processing, and vector geometry operations. Core library experience required (GeoPandas, Rasterio, GDAL). Sensor or telemetry data that includes coordinates does not qualify.
- Built and maintained production ML pipelines that run on a regular automated cadence — orchestration (Airflow, Dagster, Prefect), monitoring, alerting, retraining. Notebooks and one-off analyses don't qualify.
- Mandatory: Demonstrated industry or academic research experience in mineral exploration, mining, geology, or earth sciences. This is a non-negotiable requirement.
- Track record of operating independently as a senior IC — proactive, self-directed, accountable.
What We Offer
- Health Benefits: Extensive coverage, medical, dental, and vision plans.
- Paid Time Off (PTO): Including vacation days, sick days, personal days, public holidays plus extra time during holiday season.
- Work-Life Balance: Flexible work hours, remote work options plus option to use work space in Downtown Vancouver (free snacks & gym).
- Professional Development: Career growth program to help our team unlock their potential and advance their career.
- Performance Bonuses
- Wellness Programs: Fitness allowance, work from home allowance, mental health support.
- Retirement Plan (RRSP/DPSP)
Terms
- Full-time, permanent, remote within Canada.
- Compensation: $175,000–$185,000 CAD base salary.
- Background check required.
- Must be legally entitled to work in Canada.
This job description has been written to provide an accurate reflection of the current job and to include the general nature of work performed. It is not designed to contain a comprehensive detailed inventory of all duties, responsibilities, and qualifications required of the employees assigned to the job. Management reserves the right to revise the job or require that other or different tasks be performed when circumstances change.
We strive to create an environment where every employee feels valued, respected, and empowered regardless of their race, gender, age, religion, identity, or experience. We understand that unique perspectives and backgrounds bring invaluable insights and contribute to the richness of our culture and the effectiveness of our solutions. If you have a disability or any special needs that we might need to accommodate, please let us know.
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