Data Science Summer Internship, Muon Space
$45/Hourly. Plus equity
More information about location
End-to-end space systems provider
Job no longer available
End-to-end space systems provider
21-100 employees
Job no longer available
$45/Hourly. Plus equity
More information about location
21-100 employees
Company mission
To make Earth Intelligence accessible to help protect our planet's people, climate and ecosystem.
Role
Who you are
- The ideal candidate has a strong data science foundation, coding experience, and domain knowledge of geospatial data processing
- Muon is looking for self-motivated candidates who are comfortable working with a remote team
- We welcome applicants who are passionate about addressing climate change
- Educational Background: Currently pursuing a degree in Computer Science, Data Science, Engineering, Physics, Mathematics, or a related field
- Strong programming skills in Python
- Comfortable with collaborative coding workflows; specifically, git-managed repositories, pull requests, and cloud-based virtual machine environments
- Experience with data manipulation and analysis using libraries such as pandas, numpy, and scikit-learn
- Knowledge of data visualization tools (e.g., Matplotlib, ipyleaflet, QGIS)
- Analytical Thinking: Ability to approach problems methodically and solve complex data challenges with creative and effective solutions
- Data Experience: Experience working with messy, complicated real-world data
- Communication Skills: Strong written and verbal communication skills, with the ability to clearly explain complex concepts to a diverse audience
- Passion for Climate: A strong interest in addressing climate change through the development of new technology
Desirable
- Experience working with geospatial data processing concepts and software (geopandas, rasterio, GDAL; projections, remote sensing data)
- Knowledge of cloud computing platforms (e.g., AWS)
- Familiarity with machine learning algorithms and frameworks (TensorFlow, PyTorch, etc.)
- Experience working with remote sensing data
What the job involves
- Muon seeks experienced candidates for the position of Data Science intern
- Muon Space is building FireSat, a constellation dedicated to revolutionizing wildfire management and response
- The candidate will work closely with the infrared Data Team to develop processing and analytics for the FireSat mission
- Data Analysis & Processing: Clean, preprocess, and analyze raw data from the FireSat IR camera and simulation to develop exquisite quality data
- Model Development: Assist in building, validating, and deploying analytical and machine learning models to improve data quality and improve derived wildfire products
- Data Visualization: Create visualizations to present findings and insights to both technical and non-technical stakeholders
- Collaboration: Work embedded in the IR Data Team alongside scientists, engineers, and software developers to meet the objectives of the FireSat mission
- Research & Innovation: Contribute to research initiatives aimed at advancing data science methods used by the IR Data Team
- Gain hands-on experience in data science and remote sensing
- Opportunity to contribute to real-world projects that seek to have an impact on mitigating climate change
- Mentorship and training from industry professionals in data science and engineering
- Collaborative and dynamic work environment at the forefront of space exploration
Our take
Developing and operating satellites represents a significant challenge. Many organizations need accurate, space-based data but lack the resources or expertise to build their own spacecraft or manage the necessary ground systems and data processing.
To tackle this issue, Muon Space provides a service called Muon Halo. This allows customers to access satellite data without having to handle the technical details of satellite construction or operation. Muon offers end-to-end solutions, including building and launching satellites, managing operations, and processing collected data.
Muon has contracts with major customers like the US Air Force and US Space Force, and it is set to launch ten satellites between 2025 and 2026. With financial backing, the company is ready to expand its services and meet the growing demand for space-based solutions.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 4 rounds)
Aug 2024
$56.7m
SERIES B
Jun 2022
$25m
EARLY VC
Total funding: $101.7m
Company benefits
- Healthy Humans: 100% health, dental, and vision coverage for employees. 50% coverage for dependents. Concierge medical offered through One Medical in areas where available
- Family Matters: Our parental leave for primary and secondary caregivers have you covered when you welcome a new child into your family
- Finding Balance: Generous time off policy to incorporate ample recharge time
- Save for the Future: 401(k) plan through Betterment and equity management through Carta
- There's Always Time to Eat: We offer a fully stocked kitchen at our HQ and we cater lunch 3 days per week
- Bring your Furry Friend: Our dog-friendly office means you don’t have to leave Fido behind to come to work
Company HQ
Mountain View, CA
Leadership
Pascal Stang
(CTO)Previously a Director of the Autonomous Vehicle Division at Lyft. Prior to that, they were a Flight Vehicle Area Tech Lead at Google and a Satellite Systems Architect at Terra Bella.
Dan McCleese
(Chief Scientist)Previously worked at NASA for over 23 years in a number of roles including Mars Climate Sounder/MRO, Principal Investigator and Chief Scientist. They also worked at Calltech as a Climate Modelling Alliance Project Manager.
Paul Day
(VP of Engineering)Previously the CPO at Loft Orbital. They also worked as an Engineering Program Manager at Apple and as a Technical Program Manager at Google.
Reuben Rohrschneider
(Chief Mission Architect)Graduated from the Georgia Institute of Technology with a PhD in Aerospace, Aeronautical and Astronautical/Space Engineering. Previously worked at Ball Aerospace for over 14 years as a Mission Systems Engineer then Principal Mission Systems and Architect Engineer.
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