Senior Software Engineer, Data and ML Infrastructure (Remote)

San Francisco, CA

Full Time Senior level / Expert
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Posted 1 month ago

Our mission is to solve climate change by restoring nature. Climate change requires us to remove carbon from the atmosphere. Forests are the way to do it. We use satellite imaging and machine learning to measure and monitor forests. Like-minded and top investors, such as Saltwater Capital, Chris Sacca, and Paul Graham, back us.
We are building the world‘s first verified forest carbon marketplace. We watch forests, track carbon offsets, and connect buyers to high-quality projects. We need your help to bring transparency and to increase the use of forests to remove carbon.
Our machine learning teams are looking for a senior software engineer to be responsible for laying the critical infrastructure for our mission to map and monitor the planet's forests.
Position is remote

You will:

  • be responsible for deploying ML models to production from research scientists,
  • handle data integrations and transformation pipelines in Python on Beam,
  • manage the GPU cluster responsible for training models on Kubernetes,
  • developing tools and infrastructure to increase iteration time and improve developer experience, and
  • owning the ML services and integrations for use in product.

We are looking for strengths with:

  • building scalable and fault-tolerant distributed systems that process large amounts of data
  • working with ML models in production systems,
  • algorithms and data structures,
  • domain-driven design, and
  • event-based microservices.

We expect you to:

  • learn fast and be humble.
  • own solutions end-to-end.
  • take part in strategic thinking and take apart problems.
  • ship high-quality software.
  • communicate well and document better.
  • have fun.

Our stack:

  • Python (e.g FastAPI, Tensorflow)
  • React and Redux
  • Postgres / PostGIS
  • BigQuery
  • Kubernetes
  • Apache Beam
Job tags: Apache Kubernetes Postgres Python React
Job region(s): North America Remote/Anywhere
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