Spexi logoSpexi logo

Lead Senior Machine Learning Engineer for Geospatial Analytics

SpexiVancouverNew
On-site Full-time

Clicking Apply Now takes you to AutoApply where you can tailor your resume and apply.


Experience Level

Senior

Qualifications

Key Responsibilities:Design, train, and productionize models for aerial-image classification, object detection, and 2D/3D segmentation across various geographies, sensors, resolutions, and seasonal changes. Lead the integration and optimization of advanced foundation models for aerial segmentation, employing SAM2-like capabilities via prompt engineering, fine-tuning, and distillation. Develop innovative change detection and structure-change models adept at distinguishing genuine physical changes from acquisition noise and seasonal lighting variations. Create predictive models for trend forecasting, merging time-series methods with spatial context to monitor vegetation growth, construction projects, and asset degradation. Build Generative AI capabilities, focusing on multimodal models and natural-language query systems that integrate language with georeferenced pixels and semantic layers. Design and manage scalable ML pipelines on AWS, utilizing SageMaker, S3, and Step Functions to transition from research prototypes to production-ready systems. Stay at the cutting edge of research, including NeRFs and other advanced methodologies.

About the job

At Spexi, we are at the forefront of drone technology, striving to revolutionize the accessibility of ultra-high-resolution geospatial imagery. Our mission is to empower individuals and organizations to make more informed decisions about our physical world.

We are excited to introduce the Spexi Network, a groundbreaking two-sided marketplace driven by drones and blockchain technology. As the world’s first Fly-to-Earn platform, we enable drone pilots to earn rewards for capturing aerial imagery, while providing organizations with seamless access to high-resolution imagery and critical data. This innovative approach supports remote monitoring of buildings, infrastructure, natural resources, and more, allowing our users to enhance their planning and response strategies without the need for drone ownership or pilot hiring.

We are seeking a Senior Machine Learning Engineer to spearhead the development of cutting-edge models, algorithms, and prototype systems that redefine the realm of geospatial imagery analytics. Your expertise will bridge cutting-edge research and production, delivering high-quality, well-structured code that lays the groundwork for the next generation of Spexi’s geospatial intelligence products.

About Spexi

Spexi is pioneering drone technology to enhance the accessibility of ultra-high-resolution geospatial imagery. Our innovative solutions empower better decision-making and planning for a variety of sectors by providing essential aerial insights without the necessity of owning drones.

Similar jobs

Browse all companies, explore by city & role, or SEO search pages. View directory listings: all jobs, search results, location & role pages.

Tailoring 0 resumes

We'll move completed jobs to Ready to Apply automatically.