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Staff Software Engineer, Applied Machine Learning

Pachama

Engineering & Technology

IT & Telecoms Confidential
1 month ago

Job Summary

We're looking for engineers who find joy in the craft of building but live for seeing the end to end impact and want to rally engineers around them. Engineers who push forward initiatives by asking great questions, cutting through ambiguity, and organizing to win. Engineers who are relentlessly detail-oriented, methodical in their approach to understanding trade-offs, place the highest emphasis on building, and building quickly.

  • Minimum Qualification: Degree
  • Experience Level: Mid level
  • Experience Length: 3 years

Job Description/Requirements

What You Will Help Us With:
  • Impact: Building and releasing new algorithms and tools to enable customers to identify and originate the highest quality nature based projects.
  • Technical leadership for cross-functional projects. Connect product value with scientific complexity and rigor to develop strategies and vision for the models we need to build and how we build them. Working with teams to implement this vision.
  • Innovating by driving core design and ideation of new systems, models and data to leverage to measure the impact of conservation and reforestation projects
  • Hands on contributions coding the systems and tools that enable research and operations to produce high-quality performance metrics for forest carbon projects. Optimizing methods to run efficiently on large amounts of geospatial and remote sensing data.
  • Designing statistical frameworks and experiments to assess the quality of these measurements and models on real-world data. The quality of model outputs directly impacts the quality of forest carbon projects.
  • Advocating for and mentoring on best practices applied to our AI and data science work. Mentoring teammates to raise the bar across the Protocol teams to enable step-level increases in efficiency, correctness, accuracy, and reliability.
  • communicating the impact and learnings from our deep tech cross-functionally so organizationally we understand how AI and remote sensing can help us find and design better projects.

Experience & Skills We're Looking For:
  • Experience tech leading larger cross-team engineering efforts
  • Experience with Machine learning and statistics at scale with an ability to apply these skills to new domains like forest science and remote sensing.
  • Strong software engineering practices and a background in Python programming, debugging/profiling, and version control and system design. 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 in cluster environments and an understanding of the related distributed systems concepts (CPU/GPU interactions/transfers, latency/throughput bottlenecks, pipelining/multiprocessing, etc).
  • Ability to find and synthesize related academic literature to apply these learnings to model and experiment design.
  • Comfort with fast-paced execution and rapid iteration startup environment. Excited by-product impact
  • Passion for environmental sustainability and a desire to make a meaningful impact on the planet

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