Intern, Analytics Modeling

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 goal of the analytics team is to extract useful insights from Planet’s growing archive of Earth observation data so that wider audiences can easily extract value from our imagery. We are seeking eager software developers to join our analytics engineering group as interns for the summer of 2020. We’ve got a wide variety of exciting opportunities that revolve around indexing and summarizing Planet data with machine learning and computer vision models.

As an Analytics Engineering intern, your possible focus areas include :

- Analytics visibility (statistical summaries, interactive analysis tools)

- Computer vision modeling (spatial feature detection, transfer learning)

- Change detection (anomaly alerting, sequence modeling)

- Scalable backend infrastructure (distributed systems, cloud compute pipelines)

- End-to-end workflows (customer-facing UIs and APIs, machine learning integrations)

Not only will you work on the cutting edge in multiple domains at an agile aerospace company, you will ship production code with mentorship from our software engineers and explore modeling questions with guidance from our machine learning researchers. 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
• Ship new features to existing analytics products
• Engage with Product teams to collect feedback on new capabilities

What You Bring:

You’re a software developer, data scientist, or student with programming and analysis experience.

• Go or Python development experience 
• Familiarity with REST APIs and Web Apps

It will be helpful (but not required) to have exposure to:

• Machine learning tools (scikit-learn, keras, tensorflow, pytorch)
• Cloud compute infrastructure (GCP or AWS, docker, kubernetes, linux/unix)
• Geospatial analysis tools (GIS environments, geopandas, rasterio)
• Jupyter notebooks
• Javascript and react

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.