RF Science Intern (summer 2026)

RF Science Intern (Summer 2026)

Summer internships will range between the months of May and September depending on university schedules. Internship is full-time and on-site in Mountain View, CA.

Muon Space seeks experienced candidates for the position of Data Science intern. Muon has three GNSS-Reflectometry (GNSS-R) satellites currently providing data with an additional three expected to be launched in 2026. The candidate will work closely with the Science Team to develop and validate GNSS-R related data products and refine data processing techniques. The ideal candidate has a strong data science foundation, coding experience, and a willingness to explore new data types. Muon is looking for self-motivated candidates who are comfortable working with a remote team.

Muon is a small and fast growing startup which offers interns the experience to get direct mentorship and have real impact on our programs. As an intern, you'll collaborate with a dynamic team in a startup environment and have the chance to learn from some of the most accomplished and experienced aerospace professionals in the industry. We're committed to offering an experience where your decisions and contributions play a pivotal role in driving Muon's success.

Responsibilities

Internship projects may include some or all of the following:

• Calibration & Validation: Quantify differences in inter-satellite calibrations and performance.
• Data Fusion: Explore the utility of combining GNSS-R data with other data types.
• Research & Applications: Adapt GNSS-R data products for use in natural hazards mapping and mitigation.
• Collaboration: Work closely with other scientists in and outside of Muon to advance GNSS-R techniques.

Qualifications

• Educational Background: Currently pursuing a degree in Computer Science, Data Science, Engineering, Physics, Mathematics, Earth Science, or a related field.
• Technical Skills:
• Strong Python programming skills.
• Comfortable with collaborative coding workflows; specifically, git-managed repositories, pull requests, and cloud-based virtual machine environments.
• Experience working with remote sensing data, preferably microwave.
• 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 Our Climate: A strong interest in addressing climate change through the development of new technology.

Nice-to-have Skills

• Knowledge of cloud computing platforms (e.g., AWS).
• Familiarity with machine learning algorithms and frameworks (TensorFlow, PyTorch, etc.).
• Experience working with GNSS or GNSS-R data.

Salary

The hourly wage for this role is $50.