Associate Ecologist

About AiDASH

AiDASH is an enterprise AI company and the leading provider of vegetation risk intelligence for electric utilities. Powered by proprietary VegetationAI™ technology, AiDASH delivers a unified remote grid inspection and monitoring platform that uses a SatelliteFirst approach to identify and address vegetation and other threats to the grid. With a prevention-first strategy to mitigate wildfire risk and minimize storm impacts, AiDASH helps more than 140 utilities reduce costs, improve reliability, and lower liability across their networks. AiDASH exists to safeguard critical utility infrastructure and secure the future of humanAIty™. Learn more at www.aidash.com.

We are a Series C growth company backed by leading investors, including Shell Ventures, National Grid Partners, G2 Venture Partners, Duke Energy, Edison International, Lightrock, Marubeni, among others.  We have been recognized by Forbes two years in a row as one of “America’s Best Startup Employers.”  We are also proud to be one of the few  software companies in Time Magazine’s “America’s Top GreenTech Companies 2024”. Deloitte Technology Fast 500™ recently ranked us at No. 12 among San Francisco Bay Area companies, and No. 59 overall in their selection of the top 500 for 2024.  

Join us in Securing Tomorrow!

BNGAI™ is a Nature Intelligence Platform that uses satellite imagery and AI to deliver scalable, high quality environmental insights on any piece of land, anywhere. The platform automates habitat mapping, land classification, condition assessment, and environmental reporting at a speed and scale that manual methods cannot match.  BNGAI™ is the platform’s flagship product for the UK market, purpose built for Biodiversity Net Gain (BNG) compliance in England. BNG is one of several use cases the platform supports globally, including TNFD reporting, science based targets for nature, ESG disclosure, and large scale environmental monitoring. 

The Role

Do you love ecology and the power of spatial data? Do you dream of using cutting-edge technology to solve real-world environmental challenges? 

If so, then this Associate Ecologist position is for you! We’re looking for passionate and skilled individuals to join our dynamic team and be part of an AI-powered sustainability platform that uses remote sensing, spatial data, and agentic AI to transform ecological monitoring and biodiversity management.

How you'll make an impact:

• You'll play a pivotal role in mapping detailed habitats, conducting LULC classification, monitoring biodiversity trends, and informing conservation efforts across diverse landscapes — while also working on our next-generation tech-driven ecology workflows. 

• You’ll have opportunities to design and test logic flows in a UI-based environment that supports RAG-based and agentic-AI powered tools — helping make ecological analysis faster, smarter, and more scalable.

What we're looking for:

• Master’s or equivalent degree in Ecology, Forestry, Environmental Science, Botany, Zoology, or a related field, with a strong emphasis on habitat enhancement, biodiversity, or remote sensing. 

• Tech-oriented mindset — curiosity and comfort working with AI-assisted tools, rule-based flows, or logic-building interfaces to support automation in ecological workflows. 

• Prior experience in applying geospatial analysis to ecological mapping or conservation projects is highly desirable. 

• Understanding of habitat mapping, LULC classification, and analysis using remote sensing data, ideally focused on UK/EU ecosystems. 

• Hands-on with GIS software (QGIS, ArcGIS, or similar) and comfortable working with large geospatial datasets. 

• Collaborative and team-oriented with the ability to work independently and in a team. 

• Excellent communication skills to convey complex information effectively. 

• 0 to 2 years of total work experience.

We are proud to be an equal-opportunity employer. We are committed to embracing diversity and inclusion in our hiring practices, and we promote a work environment where everyone, from any race, color, religion, sex, sexual orientation, gender identity, or national origin, can do their best work.