All Space jobs
machine learning
deep learning

Capella is at the forefront of making vital information about our world accessible in a timely manner. We’re leveraging proven technologies and building new capabilities to create a constellation of SAR satellites that can collect information about any spot on the planet within an hour.At Capella you’ll workin a collaborative team environment, alongside smart people with a history of space mission success. No prior space experience is needed—we’re looking for people excited about tackling seemingly impossible challenges, learning new skills and concepts, and helping each other achieve success.Our mission and our products are meant to understand the whole world and help everyone in it, regardless of race, creed, or any other distinction. We believe in a diverse and inclusive workplace, and we encourage all people to join our team and bring their unique perspective to help make us stronger.We value diversity at Capella and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position, but are not sure if you are the perfect fit, please apply!

Responsibilities and Duties

Capella Space is building an industry transforming SAR data platform with the ability to request and receive high quality SAR imagery in a matter of minutes instead of weeks. We are looking for several Data Scientists at different career levels to join our exciting team.

As a Data Scientist, you will be working with the Product group that includes Data Science team in an agile environment to plan and achieve sprint goals. The Data Science Engineers build analytics products using the SAR and other satellite image data/information.

This role is remote, US based.

The Data Scientist will:

  • Research and develop machine learning/statistical learning models for SAR data analysis.
  • Collaborate with product management and engineering departments to understand company needs and devise possible solutions.
  • Keep up to date with latest technology trends.
  • Communicate results and ideas to key decision makers.
  • Implement new statistical or other mathematical methodologies as needed for specific models or analysis.


  • Have a Master’s or Ph.D. degree in Earth Science, Remote Sensing, Computer Science, Engineering, Software Engineering, Statistics or a relevant field.
  • Strong problem-solving skills with an emphasis on product development.
  • Knowledge of a variety of machine learning techniques, advanced statistical techniques, and concepts.
  • Familiarity with cloud-based workflows for satellite imagery.
  • Strong Python programming skills.
  • 3+ years of experience with earth observation data.

Desired Qualifications:

  • AWS experience including AWS/S3/Lambda etc.
  • Familiarity with Machine Learning and Deep Learning on the cloud.
  • Experience working with CUDA and GPU computing.
  • Experience optimizing for and deploying in edge environments.

In addition to an opportunity to take part in an innovative and fast-growing business with a highly motivated and skilled team, we also take pride in taking care of our employees. Here are just a few ways that we show our appreciation:

  • Medical/Dental/Vision Insurance
  • Medical and Dependent Care Flex Spending
  • Short and Long Term Disability and Life Insurance
  • FSA and HSA
  • 401(k) Plan
  • Flexible PTO
  • Gourmet-style, Daily Lunch
  • Capella Community Events
  • Equity Commuter and Parking benefits
  • Parental Leave
  • Dog-friendly Work Environment (SF)
  • Cell and Internet Monthly Stipend
Capella Space
Capella Space

Full Remote

Posted 5 months ago

If you can, mention you found the job on Rocket Crew, it helps us get more companies to post here, thanks!

🛰️ Want to find your dream job in the Space industry?

Get a weekly email of the best New Space jobs!