Job Directory Software Engineer, Machine Learning

Software Engineer, Machine Learning
San Francisco, CA

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Job Description

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. Our fleet of +100 orbiting spacecraft deliver an unprecedented firehose of imagery that captures the entire Earth's landmass nearly every day at 3m/pixel resolution. This combination of temporal frequency, spatial resolution and global coverage represents a groundbreaking technological advancement that enables new kinds of data analytics and powers solutions to many global-scale problems.

We are both a space company and a software & analytics company, all rolled into one. If you are passionate about space and machine learning, Planet is the right choice. Reasons to join us include:

* We are a young and successful cube-sat company, unique in its domain.
* You will work with a geospatial dataset that is new to humankind. Imagery of the entire globe, every day. Think of the possibilities.
* You will work on cutting-edge applications of deep learning on remote sensing.
* You will build machine learning products that get served at a global scale.
* You will work in a dynamic, talented and inclusive work environment.
* All departments are in the same building. You sit together and learn from teams like spacecraft, mission control and launch.
* You get to watch several rocket launches per year, sometimes in person.

The Role:

In the Analytics Engineering team, we are focused in developing core and customer-facing intelligence products 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. Our customers come from a range of sectors, including commercial, environmental and humanitarian.

We have a strong machine learning team and are looking for talented engineers with applied product experience to join us. If you are a team player, focused on product delivery, and are excited about deep learning, computer vision or spatio-temporal analytics, this would be a great fit for you.

Role Responsibilities:

* Active participation in a collaborative software development environment.
* Contribute to the design and development of data pipelines to train, evaluate and deploy models at scale.
* Contribute to the development of new models and analytic products using geospatial data.
* Collaborate closely with peers in other engineering teams and interface frequently with product teams.

The Must-Haves:

* Strong background in Machine Learning.
* Strong Python software development skills.
* Good foundations of software architecture, object-oriented design, APIs and testing patterns.
* Experience implementing machine learning models and deploying them in scalable environments.
* BA/BS in Computer Science, related technical field or equivalent practical experience.

The Nice-to-Haves:

* Few years of experience building production software and API services.
* Experience with deep learning frameworks such as Tensorflow.
* Experience leading and managing small teams and projects.
* MS or PhD degree in topic related to Machine Learning or Computer Vision.

Some interesting articles and press:

"Sub-weekly detection of deforestation" -- Planet blog

"Accelerating disaster response at the intersection of space and ML" -- Planet blog

"Planet And Rocket Lab Create Mission Patch To Honor Women In Aerospace" -Planet blog

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

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

Join Us:

Planet is headquartered in San Francisco, California, Earth. If you are feeling inspired, check out our website and apply.

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

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