Machine Learning

Full TimeRemote (Calgary preferred)Flash Forest is a reforestation company that uses aerial mapping software, drone technology, automation, ecological science, and a lot of passion to reforest post-wildfire areas at a rapid pace. We accelerate the rate of reforestation worldwide. Instead of humans on the ground, we transfer the hard labour to drones. Living in the age of technology, we harness data, machine learning, and spatial analytics to restore entire ecosystems and deliver scalable forestry intelligence. Flash Forest is here to tip the scales in the global ecological crisis.With our primary location in Mississauga, we are excited to welcome you as part of our growing team as we expand across Canada and the United States. This role is primarily remote, with occasional travel for collaboration, field validation, or internal planning sessions. Preference will be given to candidates from Alberta, ideally Calgary, for their ability to visit our Western Office.Your ContributionYou are a technically strong and intellectually curious individual with experience in machine learning, GIS, or spatial analytics who is motivated by applying advanced technology to real-world environmental challenges. You enjoy working in fast-paced, early-stage environments where problems are not always well defined and solutions must be built iteratively.You are comfortable working across research and applied delivery, translating models and analysis into tools and outputs that can be used by internal teams and clients. You communicate clearly with both technical and non-technical colleagues and are motivated by seeing your work deployed in production environments.As a Machine Learning & GIS Specialist, you will report to Owen and work closely with engineering, operations, and commercial teams to support the development and delivery of Flash Forest’s Free-to-Grow and Vegetation Intelligence offerings.Flash Forest is a growing and dynamic company. As such, you will be expected to complete other duties as assigned and remain flexible in the scope of work undertaken. This role assumes adaptability and a willingness to work across evolving priorities.Role & ResponsibilitySupport the development and refinement of machine learning models for Free-to-Grow assessments, Vegetation classification and change detectionPrepare, clean, and manage spatial datasets including LiDAR, aerial imagery, and other remote sensing inputsConduct GIS analysis to support site-level assessments, pilots, and client deliverablesAssist with model validation, accuracy assessments, and performance trackingTranslate research and model outputs into operational workflows and client-ready outputsSupport internal software and tooling used for Vegetation Intelligence deliveryCollaborate with Owen to understand system architecture, design decisions, and product roadmapProvide technical support for sales and client delivery where analytical credibility is requiredDocument methodologies, assumptions, and processes to support repeatability and scaleCompetencies & QualificationsBachelor’s or Master’s degree in Machine Learning, Data Science, GIS, Computer Science, Environmental Science, or a related fieldHands-on experience with machine learning techniques, particularly classification or computer visionExperience with Python is requiredExperience working with spatial data and GIS toolsFamiliarity with remote sensing data such as LiDAR, multispectral, or aerial imagery is an assetExperience with LiDAR and photogrammetry processing workflows is a strong assetRPAS license / piloting experience is a strong assetAbility to work independently and manage multiple tasks concurrentlyStrong problem-solving skills and attention to detailExperience working in a startup, research-to-product, or fast-paced environment is an assetForestry, ecology, or environmental analytics experience is an asset but not requiredWhat We ValueIMPACT - We started Flash Forest with the goal of offsetting enough carbon emissions to have a significant and measurable impact on climate change within the next decade.QUALITY - We work closely with plant scientists and forestry experts and will use multispectral mapping UAV technology to select ideal planting sites and provide valuable follow-up data on ecosystem health.INCLUSIVITY - We want everyone to have a way of personally contributing to a large-scale environmental solution through an organization they can trust.COOPERATION - We are committed to partnering with local groups, agencies, scientists, and individuals of all types to share knowledge and resources for the best reforestation solutions.Flash Forest is an equal opportunity employer that values diversity, inclusion and fairness. We encourage applications from all backgrounds and experiences, treating everyone with respect, and offering equal opportunities for advancement and growth. Join our team and get involved with a culture that celebrates uniqueness and embraces collaboration We thank you for your interest #J-18808-Ljbffr