Machine Learning & Computer Vision Intern (Summer Student) – Geospatial Digitization

Title Machine Learning & Computer Vision Intern (Summer Student) – Geospatial Digitization

Company Orix Geoscience Inc.

Industry Exploration & Mining (Geological Consultant Firm)

Location Toronto, ON (Only local candidates will be considered)

Contract 3-4 Months

Availability Immediate

Compensation CAD $25.00 per hour

Company Overview Named a Great Place to Work Canada (Great Place to Work Institute, 2023, 2024, 2025 & 2026) and winner of the Business of the Year Award (Sudbury Chamber of Commerce, 2022), Orix Geoscience is a full‑cycle geological consulting firm that advances strategic exploration and mining projects, through Data Optimization and Geological Solutions. Incorporated in May 2012 with offices in Toronto, Sudbury, and Winnipeg, Orix has collaboratively supported 250+ clients (junior, mid‑tier, major, government, technology firms, and industry organizations) applying geological and geomatic expertise to drive global desktop and Canadian field projects forward. Your Geology and Data Experts.

Position We are looking for a Machine Learning & Computer Vision Intern to join our team for a summer student opportunity focused on automated geospatial digitization. This role is well suited to a student in Computer Science or a related program who is interested in applying machine learning, image processing, and Python development to challenging real‑world datasets.

The project focuses on transforming scanned geological maps and other raster‑based documents into structured GIS data. You will support the development of workflows that detect and classify mapped features such as boundaries, symbols, linework, and patterned areas, helping bridge the gap between unstructured imagery and usable spatial data. In addition, you’ll be part of a great workplace culture where:

You will work for a value‑driven company that puts an emphasis on work‑life balance and a healthy, inclusive environment that celebrates and leverages diverse perspectives and talents.

You will benefit from a flexible organization, with Orix’s hybrid in‑office/work‑from‑home model for desktop work, as well as the Orix Leadership Team’s support of employees pursuing further education and development opportunities.

You will have the opportunity for significant industry exposure, to be a thought‑leader in the Exploration & Mining industry.

Work with a truly supportive team that leans on each other to develop and grow professionally through mentorship, internal and external training and providing self‑determined opportunities over your time at Orix.

Qualifications

Currently enrolled in a Computer Science, Data Science, or related post‑secondary program and returning to school in the Fall of 2026.

Experience with Python from coursework, projects, research, or internships.

Familiarity with tools such as OpenCV, PyTorch, or TensorFlow.

Strong problem‑solving skills and attention to detail.

Ability to work independently while contributing to a collaborative team.

Experience with image segmentation, classification, or pattern recognition (an asset).

Familiarity with Rasterio, GeoPandas, GDAL, or geospatial data formats (an asset).

Foundational knowledge of machine learning, deep learning, or computer vision (an asset).

Exposure to handling large image datasets, augmentation, or mask generation (an asset).

Interest in GIS, remote sensing, geology, or applied AI (an asset).

Job Responsibilities

Support the development of computer vision and ML workflows for map feature detection and segmentation.

Assist with image pre‑processing, cleanup, and enhancement of scanned map data.

Help prepare training and testing datasets, including tiles, labels, and masks.

Test and evaluate algorithms for recognizing map features, symbols, and textures.

Write and improve Python scripts for data processing and workflow automation.

Help maintain documentation and reproducible project workflows.

Collaborate with GIS and technical team members to validate results and refine methods.

Ability to work at our downtown Toronto office location 2 days a week and from home 3 days a week.

Any other geological duties as required by your project supervisor.

Company Values

Respect : You value each other’s points of view, treat everyone with politeness and kindness always, and care about everyone’s feelings and well‑being.

Judgement : You make wise decisions despite ambiguity and identify root causes to get beyond treating symptoms.

Communication : You listen well, are concise and articulate in speech and writing, and maintain calm poise in stressful situations.

Impact : You focus on great results rather than the process and exhibit a bias‑to‑action to avoid paralysis by analysis.

Curiosity : You learn rapidly and eagerly and seek to understand our strategy, market, clients, and suppliers.

Innovation : You re‑conceptualize issues to discover practical solutions and challenge prevailing assumptions when warranted.

Courage : You take smart risks and question actions inconsistent with our values.

Passion : You are tenacious, inspire others, and care for our success.

Honesty : You are known for candor, directness, and admit mistakes quickly.

Selflessness : You leave your ego at home, help others, and share information proactively.

How to Apply Please apply by sending a cover letter and resume to Dan Piotrowski at

hr@orixgeo.com . Please include in your cover letter why you are interested in the job and which skills, experience, and/or education make you an excellent candidate for Orix. Only those candidates with cover letters and resumes who fit the needs of the company will be contacted.

Think you’re a good fit but don’t check every box? Reach out to us anyway! We value diversity in backgrounds and experiences and are committed to equal opportunity, fairness, and a sense of belonging for all. Accessibility accommodations are available upon request in all aspects of Orix’s recruitment and selection process.

For additional information related to Orix Geoscience Inc., please visit

www.orixgeo.com .

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