Pachama is hiring a
Senior Machine Learning Engineer

Summary

Join Pachama's team as a Distributed Systems Engineer to contribute to the development of geospatial data warehouse and platform, implement cutting-edge pre-processing algorithms, and participate in strategic thinking. This role is remote with a preferred location within 3 hours of Pacific time.

Requirements

• 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

Responsibilities

• 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

Benefits

$106,155 - $168,500 a year