Software Engineer, Machine Learning Infrastructure at Planet
San Francisco, CA, US

Welcome to Planet. We believe in using space to help life on Earth.

 

Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to decision-makers in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one.

Customers and users across the globe use Planet's data and machine learning-powered analytics to develop new technologies, drive revenue, power research, and solve our world’s toughest challenges.

As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains.

We have a people-centric approach toward culture and community and we are iterating in a way that puts our team members first and prepares our company for growth.

Join Planet and be a part of our mission to change the way people see the world.

 

The Role

 

  • Define and build infrastructure for training Tensorflow deep learning models on our unique global imagery
  • Deploy Tensorflow models to our asynchronous image processing compute cluster
  • Implement efficient solutions for processing raster and vector geographic data

 

The Must Haves

 

  • BS or MS in Computer Science or related fields
  • 3+ years of production software development experience
  • Expertise in both a dynamic language (Python, Ruby) and one or more static, compiled languages (Go, Java, C/C++)
  • Experience with SQL databases (Postgres or MySQL) and NoSQL databases (e.g. Bigtable, Redis, HBase, etc.), and understand when to use each
  • Fluency with the basics of Machine Learning workflows and techniques (e.g. best practices  around training data management, understand basics of numerical optimization)
  • Experience with the Python scientific computing ecosystem (Pandas, numpy, scikit-learn, scikit-image, etc.)
  • Experience with a largely shared codebase and Continuous Integration and Deployment workflows and tooling
  • Know your way around a Linux environment
  • Excellent communication, relationship skills, and a strong team player

 

The Nice to Haves

 

  • 5+ years experience with software engineering and 2+ years experience with geospatial data and/or machine learning
  • Experience with open-source GIS software applications/ and packages such as QGIS, GDAL/OGR, or PostGIS
  • Experience with remote sensing data from satellite constellations like Landsat, Sentinel
  • Experience training and/or deploying customer-facing machine and deep-learning models
  • Experience with at least one deep learning framework (Tensorflow, PyTorch, Caffe, Theano, Keras)

 

Some press about us:

 

Our CEO, Will Marshall's TED Talk

"Tiny Satellites ushering in the New Space Revolution" Bloomberg Businessweek

"The All-Seeing Eye in the Sky video" Bloomberg Businessweek video

"Planet And Rocket Lab Create Mission Patch To Honor Women In Aerospace" —Planet Blog

 

Join Us:

 

Planet is headquartered in San Francisco, California, Earth. If you are feeling inspired, check out our website www.planet.com/careers and apply. Be sure to include a cover letter to let us know why you think you’d be a good fit and feel free to mention anyone you have previously worked with at Planet.

 

We are committed to building a diverse team and encourage applications from people of all backgrounds.