Data Science Intern

Relativity Space Internships • Long Beach, CA

98d • $37 - $42

About The Position

At Relativity Space, we’re building rockets to serve today’s needs and tomorrow’s breakthroughs. Our Terran R vehicle will deliver customer payloads to orbit, meeting the growing demand for launch capacity. But that’s just the start. Achieving commercial success with Terran R will unlock new opportunities to advance science, exploration, and innovation, pioneering progress that reaches beyond the known. Joining Relativity means becoming part of something where autonomy, ownership, and impact exist at every level. Here, you're not just executing tasks; you're solving problems that haven’t been solved before, helping develop a rocket, a factory, and a business from the ground up. Whether you’re in propulsion, manufacturing, software, avionics, or a corporate function, you’ll collaborate across teams, shape decisions, and see your work come to life in record time. Relativity is a place where creativity and technical rigor go hand in hand, and your voice will help define the stories we’re writing together. Now is a unique moment in time where it’s early enough to leave your mark on the product, the process, and the culture, but far enough along that Terran R is tangible and picking up momentum. The most meaningful work of your career is waiting. Join us.

Requirements

• Actively pursuing a degree in Computer Science, Data Science, Mathematics, Statistics, Physics, Engineering, or a related field.
• Strong programming skills in Python using machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong theoretical understanding of machine learning and statistics.
• Proficiency in statistical analysis, optimization, and data visualization tools.

Nice To Haves

• Proficiency with collaborative software development concepts such as git, code review, and CICD.
• Background in the field of Additive Manufacturing.
• Proficiency with databases and SQL.

Responsibilities

• Design, implement, and evaluate machine learning models related to large scale additive manufacturing systems.
• Use a strong theoretical understanding of ML to guide model selection and optimization based on the data on hand and model performance requirements.
• Collaborate with other team members to deploy ML models into production environments.
• Extract insights from a wide range of data sources such as sensors, cameras, and physical simulations to understand and optimize the interactions between materials, printing processes, and product performance.
• Communicate effectively with stakeholders.

Benefits

• Competitive salary and equity.
• Generous PTO and sick leave policy.
• Parental leave.
• Annual learning and development stipend.

What This Job Offers

• Career Level: Intern
• Education Level: Bachelor's degree
• Number of Employees: 1,001-5,000 employees