About Aarden
We started Aarden to reimagine land stewardship for a new era. Land is the world’s most valuable—and limited—asset. Our platform uses AI and data to help landowners, investors, and stewards make smarter, faster decisions that unlock economic and environmental value.
Joining Aarden means you’ll be part of a small, fast-moving team shaping a new category. Every hire has outsized impact, and every idea can help redefine how the world manages land.
The Role
We’re looking for a Machine Learning Engineer who is curious, creative in applying AI to real-world problems, and motivated to ship solutions quickly. You’ll be a core member of the founding team and will work to design, prototype, and deploy models that unlock insights into land use, value, and opportunities.
This isn’t a role where pedigree matters. We care more about how you think, what you build, and how you learn. We're seeking applicants from all levels of experience and background.
What You’ll Do
Develop and deploy ML models using multimodal data sources (geospatial, structured + unstructured, financial).
Experiment rapidly—identifying promising AI applications, testing them, and iterating.
Partner with product and engineering to bring models into production.
Explore cutting-edge AI tools, frameworks, and approaches to push Aarden’s capabilities forward.
Contribute to shaping our technical culture and best practices from the ground up.
What We’re Looking For
A technical background—could be in software, financial modeling, statistics, applied science, or similar. If you’ve built things that work and solve problems, you’re in the right place.
A provable obsession with AI and creativity in finding optimal use cases. You’re the type who can’t help but tinker, test, and try.
Self-motivation and drive—you love taking ownership and running with ideas.
Nice to Have (Not Required)
Experience with geospatial data, land use, or environmental modeling.
Familiarity with LLMs, computer vision, or multimodal AI.
Prior startup experience (or at least an appetite for ambiguity and speed).
Willingness to work hybrid from our Seattle HQ.
Why Join Us
Competitive compensation and meaningful equity.
Health, dental, and vision insurance.
Generous PTO and leave policies.
Flexible schedules with hybrid in-office collaboration.
A culture of learning and growth in an innovative, fast-paced environment.
Dedicated commitment to invest in AI tooling and growth opportunities.