About the Role:
Planet is looking for a Senior Machine Learning Engineer with a proven background in delivering machine learning products at scale.
This role will be in the Applied Machine Learning engineering team which delivers novel machine learning powered products for both external customers and internal use. The team designs the algorithms, integrates these into production systems and maintains them via ML operations (MLOps). For example, the team has developed Road and Building monitoring products based upon our satellite imagery, including global weekly mapping and change detection. They have also built the inference systems that generate cloud masks of all images produced by Planet. The core algorithms that have been developed typically use a combination of computer vision (DL & non-DL) and time series, all cemented in statistical and physical principles. Additionally, the team takes ML models from external partners and integrates them into our systems so that their output can be offered to Planet’s customers.
In this role, you will join a team of engineers working together on algorithm development and integration into our distributed compute platform. You will perform exploratory analysis on remote sensing data and build models and inference pipelines on top of our infrastructure. You will also design ML operations to maintain the performance of deployed models and pipelines.
The team has a highly collaborative culture and is distributed remotely across USA and Canada.
Impact You’ll Own:
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