✨ About The Role
- The role involves contributing to a geospatial data warehouse and platform for scientists and machine learning engineers.
- The candidate will construct robust pipelines for the ingestion of geospatial data.
- They will implement cutting-edge pre-processing algorithms for sensor data to produce quality features for machine learning.
- The job includes contributing to tools and infrastructure to increase iteration time and improve developer experience.
- The candidate will develop plans for cross-team initiatives related to infrastructure and deliver on them.
⚡ Requirements
- The ideal candidate has built scalable and fault-tolerant distributed systems that process large amounts of data.
- They have experience working with machine learning models in production systems.
- A strong understanding of cluster environments and distributed systems concepts is essential.
- The candidate should be comfortable with fast-paced execution and rapid iteration in a startup environment.
- They should possess interdisciplinary collaboration skills and deep user empathy.