Senior Machine Learning Engineer at Pachama

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.

• 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

• Contribute to our geospatial data warehouse and platform for scientists and machine learning engineers
• Construct robust pipelines for the ingest of geospatial data
• Implement cutting edge pre-processing algorithms for sensor data to produce quality features for ML
• Contribute to tools and infrastructure to increase iteration time and improve developer experience
• Contribute to infrastructure to accelerate research and experimentation
• Develop plans for cross-team initiatives related to infrastructure and deliver on them

• Approach problems with curiosity and humility
• Own solutions end-to-end
• Take part in strategic thinking
• Leave code better than when you found it
• Communicate well and document better
• Have fun!!

Even if you don’t meet all these requirements, we encourage you to apply if this job description excites you. We are looking for ambitious people to help make an impact on climate change. That purpose requires us to bring together a diverse set of people with different backgrounds, perspectives, and skills to create solutions that work for all.