Location: This role is remote. However, given the cross-functional communication responsibilities, it is preferred that you be within 3 hours of Pacific time.
About Pachama:
Pachama harnesses AI and satellite data to empower companies to confidently invest in nature. Using the latest technological advances, Pachama delivers continuous insight into how forests sequester carbon, protect wildlife and benefit local communities. These insights enable leading companies to find the world’s best projects and track their impact over time while also helping land stewards earn an income protecting nature with tools to develop carbon projects and secure funds.
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Experience & Skills We’re Looking For:
- You’ve built scalable and fault-tolerant distributed systems that process large amounts of data
- You’ve worked with ML models in production systems
- Experience working in cluster environments and an understanding of the related distributed systems concepts (CPU/GPU interactions/transfers, latency/throughput bottlenecks, pipelining/multiprocessing, etc)
- Experience with algorithms and data structures, domain-driven design, and software engineering fundamentals. Some examples of tools in our tech stack include Kubernetes, Dask, Flyte. Open source geospatial tools that are also part of our tech stack include Rasterio, Geopandas, and Xarray
- Experience working with terrestrial ecosystem geospatial data such as land cover, ecosystem classifications, and biophysical data
- You’re comfortable with fast-paced execution and rapid iteration startup environment
- You’re excited by product impact
- Interdisciplinary collaboration and deep user empathy
