Pachama
San Francisco
2-10 employees
Pachama uses AI and remote sensing to verify and monitor carbon capture by forests to help finance conservation and reforestation.
Prior Listings
- Machine Learning Engineer
- Senior Software Engineer, Data and ML Infrastructure
- Product Manager, GIS/Machine Learning
- Engineering Manager, Machine Learning
- Senior Data Engineer
- Machine Learning Engineer
- Data Engineer, Machine Learning
- Software Engineer, Machine Learning - Platform
- Product Manager, Machine Learning - Biomass
- Software Engineer, Machine Learning - Biomass
- Machine Learning Engineer, Baseline
- Forest Data Analyst
- Staff Software Engineer (Applied Machine Learning)
- Senior Machine Learning Engineer
- Senior Machine Learning Engineer, Geospatial
- Staff Data Engineer
Senior Software Engineer, Data and ML Infrastructure
Senior Software Engineer, Data and ML Infrastructure
This job is no longer open
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 worldâs 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
This job is no longer open