The Opportunity: Pioneer the Future of Forest Inventory

Are you passionate about leveraging the latest AI and geospatial technologies to unlock critical data-driven insights from remote sensing data? We’re looking for a  Remote Sensing Specialist  to join our dynamic Remote Sensing Team. In this pivotal role, you will be instrumental in pioneering the next generation of enhanced forest inventory products by transforming vast remote sensing datasets into actionable, intelligent, and scalable insights through advanced GeoAI methodologies.

You'll collaborate closely with a multidisciplinary team of experts across forestry, GIS, and software development, applying innovative machine learning and deep learning techniques to help clients make informed, data-driven decisions about the land they manage. This role is ideal for an analytical mind that thrives on solving complex technical challenges, values precision, and is excited by the prospect of pushing the boundaries of geospatial AI in a team-oriented environment.

What You’ll Do:

• Develop and Deploy GeoAI Models: Design, develop, and validate advanced machine learning and deep learning models for precise forest inventory estimation (e.g., biomass, species classification, stand structure, growth prediction) using diverse remote sensing datasets (LiDAR, satellite imagery, UAV data).
• Engineer Intelligent Workflows: Build and optimize automated workflows for efficient remote sensing data processing, feature extraction, quality control, and predictive output generation at regional and provincial scales.
• Innovate with Computer Vision: Investigate and implement novel computer vision and AI algorithms for individual tree segmentation, crown delineation, change detection, and anomaly detection within complex forest environments.
• Scale Geospatial Analytics: Contribute to the strategic integration and deployment of AI-driven insights into scalable platforms and client decision support systems.
• Collaborate and Educate: Work closely with multidisciplinary teams, translating complex concepts and results into high-quality, client-ready deliverables.
• Research & Advance: Actively research and integrate emerging tools and techniques in geospatial AI, machine learning, and deep learning to continually push the boundaries of forest inventory modeling and deliver innovative solutions.

What You Bring:

• A degree in Forestry, Geomatics, Remote Sensing, Environmental Science, Computer Science, or a related field with an emphasis on geospatial analysis and AI/ML.
• Graduate-level education (MSc or PhD) is an asset, particularly in forest modeling, remote sensing, or geospatial AI.
• Demonstrated experience in developing and deploying machine learning or deep learning models for geospatial applications, particularly with LiDAR and imagery in forested environments.
• Proficiency with advanced individual tree segmentation and object detection techniques, ideally leveraging deep learning architectures.
• Expertise in tools such as LAStools, lidR, PDAL, and advanced scripting languages like Python or R, with a strong command of AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Familiarity with GIS platforms (ArcGIS, QGIS) and proven experience in handling and processing large geospatial datasets for AI model training.
• Strong conceptual and practical understanding of AI/machine learning techniques (e.g., supervised/unsupervised learning, deep neural networks, CNNs, Random Forest, Gradient Boosting) for forest metric prediction and classification.
• Experience with cloud-based geospatial AI platforms (e.g., Google Earth Engine, Microsoft Planetary, AWS SageMaker, Azure Maps/Orbital/ML) for large-scale processing and model deployment.
• Understanding of advanced remote sensing data fusion techniques, including multi-sensor and multi-temporal approaches.
• Attention to detail, a strong analytical mindset, and the ability to communicate technical and GeoAI concepts clearly to diverse audiences.
• A collaborative approach and comfort working in a fast-moving, multi-project setting.

Nice to Have:

• UAV imagery and LiDAR acquisition, processing experience, and its integration in AI workflows.
• Knowledge of provincial forest inventory standards and methods (e.g., Alberta, Saskatchewan, Ontario BC) and how they can be enhanced.
• Understanding of how remote sensing supports forest management, planning, and decision-making.

Why Work at Silvacom:

• Join a team that values curiosity, creativity, and technical excellence in pioneering GeoAI solutions for sustainable resource management.
• Work on projects that blend cutting-edge AI research with real-world application, directly impacting environmental stewardship.
• Collaborate with a group of down-to-earth professionals who care about their work and support each other’s growth.
• Enjoy flexible work arrangements, strong support for continuous learning and development in emerging technologies, and a culture that truly invests in people.
• Contribute to projects that leverage the power of AI to shape better land use decisions across Canada.
• Do work that matters and be recognized for how you innovate and deliver.

Compensation:

We offer competitive salaries commensurate with abilities, a medical/vision/dental package, a Flexible Spending Account (FSA), and a company-sponsored RRSP plan, remote working options, as well as no end to challenging opportunities!

Seem like a good fit?

Come build your career with us! We are an equal opportunity employer that is committed to inclusion and diversity. All qualified applicants will receive consideration for employment without regard of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.

We thank all applicants in advance for their interest in this position; however, only those selected for an interview will be contacted. If you are selected for an interview, you will be contacted by a Silvacom Recruiter with an @silvacom.com email directly from our organization.