At SIG, we’re passionate about making a difference and driven by a commitment to excellence. While we don’t have any current openings, we’re always looking to connect with talented and motivated individuals who share our vision.
If you’re interested in joining our team, we’d love to hear from you! Feel free to send your resume and a brief introduction to info@sig-gis.com, and we’ll keep your information on file for future opportunities.
Stay connected and check back soon for updates on new positions. Together, we can create meaningful impact and achieve great things!
We have a newly-created full-time position of Technical Lead, Geospatial & Cloud (GEE). The person who fills this role can be located anywhere in the United States or compatible time zones.
This role contributes technical leadership for SIG’s Google Earth Engine (GEE)–based analysis, tools, and cloud workflows, with responsibility for technical design decisions, implementation approaches, and alignment across projects. The position is hands-on and focused on designing, implementing, and maintaining GEE and Google Cloud–based solutions, while also guiding technical approaches across projects and supporting other geospatial staff.
Week-to-week activities will include geospatial analysis and programming, workflow and methodology design, cloud resource planning, technical review, and coordination with product management, research teams, and external partners.
Interviews will be on a rolling basis. Applications will be continuously reviewed until suitable candidates are identified.
Applicants are invited to send a brief cover letter illustrating their suitability along with a curriculum vitae or resume. All correspondence and applications should be addressed to jobs@sig-gis.com. Include your name and “Technical Lead, Geospatial & Cloud (GEE)” in the subject line.
SIG is an Equal Opportunity Employer. We are committed to diversity, which includes recognizing that our success is best advanced by the leadership and contributions of women and men of diverse backgrounds, beliefs, and culture. We encourage applicants from all cultures, races, colors, religions, sexes, national or regional origins, ages, disability statuses, sexual orientations, gender identities, military, or other statuses protected by law.
SIG is seeking an early-career Large Language Model (LLM)/ Natural Language Processing (NLP) Engineer to join our GeoAI team. The ideal candidate will be able to independently develop and help guide implementation of AI tools that support environmental research, decision support systems, and policy analytics. This role is ideal for a researcher or developer interested in applying natural language processing and large language models (LLMs) to Earth and environmental science domains. The LLM/NLP Engineer will design, implement, and evaluate language-based AI tools to advance environmental research and decision-making. Responsibilities include developing and fine-tuning LLM and NLP models tailored to geospatial, environmental, and policy datasets, as well as building pipelines for document processing, knowledge extraction, and semantic search across diverse sources such as scientific literature and spatial metadata. The engineer will contribute to frameworks for interpretable and responsible AI, collaborating closely with SIG scientists, data engineers, and remote sensing specialists to integrate NLP capabilities into decision-support workflows. Additionally, the role involves developing and deploying prototype AI-driven applications, such as environmental chatbots, document summarizers, and knowledge graph tools, that enhance access to and understanding of complex environmental information.
SIG’s projects are focused on codevelopment and prioritize the use of open-source data and tools. Therefore, familiarity with these frameworks is essential. Previous experience in projects involving climate change impact mitigation, forestry management, land cover mapping, geospatial technologies, precision agriculture, remote sensing, and GeoAI will be highly beneficial.
This position will be full-time and fully remote. However, candidates must be based in a United States-compatible time zone to ensure effective collaboration.
Interviews will be on a rolling basis. Applications will be continuously reviewed until suitable candidates are identified.
$70,000-$90,000, commensurate with experience
Position description
Skills, degrees, experience
By email?
Position description
Skills, degrees, experience
By email?