Key Responsibilties
- Set the scientific vision for how satellite, UAV, ground, and IoT sensor data converge into a unified spatial analytics fabric that scales globally
- Own remote-sensing data strategy, negotiate provider agreements, define data acquisition cadences and sources, and manage petabyte-scale archives in cloud object stores and spatio-temporal databases
- Lead the design, development, and deployment of ML & AI models focused on feature extraction from 2D and 3D data (lidar and imagery), using our ML CI/CD workflow as well as contributing to development
- Drive research and development efforts to enhance models' accuracy, efficiency, and scalability in a production environment
- Collaborate with cross-functional teams, including software developers, product managers, and subject-matter experts in agriculture and forestry, to identify customer pain points and solution opportunities
- Oversee data acquisition and preprocessing pipelines, ensuring data quality and integrity for machine learning models
- Drive IP creation and publication: prototype novel algorithms, file patents, and present at leading geospatial conferences
- Establish data-quality & ethics governance uncertainty quantification, bias monitoring, and compliance with geospatial privacy regulations
- Mentor and grow a high-performing team; foster a culture of experimentation, peer review, and continuous learning
- Partner externally with universities, space agencies, and analytics vendors to co-develop models, share datasets, and unlock co-selling opportunities
Qualifications
- 10+ years applying remote sensing and geospatial analytics in production environments; 5+ years leading technical teams
- Deep expertise in satellite & aerial imagery, LiDAR point clouds, SAR, multispectral/hyperspectral data, and their preprocessing workflows
- Strong experience with tools and libraries such as TensorFlow, PyTorch, SAM, DINO, OpenCV, and other machine learning frameworks
- Experience working with 2D and 3D data sources such as lidar, camera imagery, and point clouds.
- Familiarity with geospatial data processing, GIS, Photogrammetry, Neural Radiance Fields, Gaussian Splatting, and remote sensing data analytics
- Solid understanding of agriculture, forestry or natural asset management applications is a plus.
- Strong communication and leadership skills, with the ability to articulate complex technical concepts to non-technical stakeholders
- Proven track record delivering cloud-native pipelines on AWS, Azure, or GCP using Spark, Dask, Kubernetes, or serverless architectures
- Strong programming chops in Python (plus one of: C++, Rust, or Go) and experience with modern MLOps stacks (MLflow, Metaflow, Vertex AI, or similar)
- Exceptional communication skills: able to explain NDVI and graph attention networks to agronomists, executives, and engineers alike
- Experience fusing in-situ IoT sensor data with satellite/UAV imagery
- Bachelor’s or Master’s in Remote Sensing, Geomatics, Computer Science, or a related quantitative field; PhD a plus
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What We Do
Agerpoint is an innovator in geospatial intelligence and data engineering that develops technologies to digitize, analyze and comprehend the natural world.
Through a combination of artificial intelligence, high performance computing, computer vision and advanced analytics, the Agerpoint platform fuses together sensor data from mobile devices, terrestrial vehicles, drones and satellites with other information and human observations to create a highly precise, quantifiable and interactive digital record to enable better decision-making for clients across agrochemical and food and beverage R&D, forestry, production agriculture, government and conservation organizations.
Agerpoint's Know Your Carbon™ serves to provide credibility and transparency to carbon credits by leveraging Agerpoint’s unique ability to create highly accurate 3D plant models and efficiently extract physical measurements and health information using automation and AI.
Know Your Carbon™ was recognized by the World Economic Forum as a winner of the Carbon Market Challenge as announced at the UN’s Climate Change Conference, COP 26. Agerpoint was also named a 2022 Technology Pioneer by the World Economic Forum.
With these advancements, our mission is to improve quality of life for our planet’s inhabitants and mitigate climate change by enabling a transformational shift in how we measure and understand plants, crops and forests.








