Intern, Machine Learning Engineer Analytics R&D

Remote, EU based

Applications have closed
Planet Labs Inc. logo
Planet Labs Inc.

Posted 1 month ago

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 authoritative figures 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 to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles.

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 strive to iterate 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.

Planet is headquartered in San Francisco, California, Earth.

About the Role:  

The past few years have witnessed the acceleration and convergence of two exciting trends in remote sensing and artificial intelligence: the explosion in satellite sensing constellations, government and commercial, has been matched by incredible advances in deep learning (DL), accelerated computing and open source software. New catalogues of daily temporal data will soon dominate the global archives. This data and related “frontier technologies” can shed light on the sustainable development challenges we face, bring revolutionary levels of transparency, and drive a culture of data-driven decision making and accountability. We are focused on researching, developing, and applying core technology in artificial intelligence that will change how our industry measures global activity. For example, we can build systems that detect deforestation within a few days from occurring, anywhere in the world, or extract the most up-to-date maps of roads and buildings for the entire continent of Africa. Our customers come from a range of sectors, including commercial, environmental, and humanitarian. We cooperate with leading R&D institutions worldwide in bringing new ideas to the market. If you are a team player, focused on research and development, and are excited about deep learning, computer vision or spatio-temporal analytics, then this internship could be a great fit for you. 

As a Machine Learning Engineering intern, your possible focus areas include :

  • Developing machine learning algorithms for PlanetScope time-series 
  • Data generation pipelines

Not only will you work on the cutting edge in multiple domains at an agile aerospace company, but you will also learn the state-of-the-art machine learning approaches with guidance from our machine learning researchers and data scientists. Throughout your internship experience, you will get exposure to great people, valuable skills, and a whole industry of network opportunities..

Impact You’ll Own:

  • Demonstrate new ways to extract and expose value from Planet’s imagery
  • Analyze different technologies and compare them in a scientific way.

What You Bring:

You are not only an MSc student with a solid machine learning background but also self-motivated and enjoying solving difficult challenges.

What Makes You Stand Out:

  • experience in the area of remote sensing and/or computer vision
  • a solid machine learning and deep learning background
  • good programming skills (Python is preferred)
  • experience with machine learning tools (TensorFlow or  PyTorch) 
  • communication and representation skills
  • cloud compute infrastructure (GCP or AWS, docker, kubernetes, linux/unix)
  • geospatial analysis tools (GIS environments, geopandas)

Some Press About Us: 

Our CEO, Will Marshall featured on TED and featured in a Planet Blog

“Planet: Bringing Space Back Down to Earth”

Tiny, privately owned satellites are changing how we view the Earth features in NBC News

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

Why we care so much about Belonging. 

We’re dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That’s why Planet is guided by an ultimate  north star of Belonging, dreaming big as we approach our ongoing work with diversity, equity and inclusion.  If this job intrigues you, but you’re thinking you might not have all the qualifications, please... do apply!  At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description.  We don’t just fill positions, we aspire to fulfill people’s careers, most excited about folks who are motivated by our underlying humanitarian efforts.  We are a few orbits around the sun before we get to where we want to be, so we hope you’re excited to come along for the ride. 

Job tags: AWS Computer Vision Deep Learning Engineering Kubernetes Linux Machine Learning Open Source Python PyTorch R Research TensorFlow
Job region(s): Europe Remote/Anywhere
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