Data Science Intern

At Relativity Space,we’rebuilding 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. Butthat’sjust 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'renot just executing tasks;you'resolving problems thathaven’tbeen solved before, helping develop a rocket, a factory, and a business from the ground up. Whether you’rein 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 storieswe’rewriting together.

Now is a unique moment in timewhereit’searly 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.

The Additive Technology teamoperatesat the frontier of research and development, where creativity meets capability. This is an R&D-driven environment where problems areopen-endedand solutions are yours to define.

You’llwork alongside welders, robotics engineers, data scientists, and systems engineers at the intersection of hardware and software, creating an end-to-end additive manufacturing platform that serves a wide variety of applications. From exploring new materials to unlocking faster print speeds, to designing complex, organic geometries thatcan’tbe built any other way,it’shigh-impact work that sets the foundation for the future of additive manufacturing.

We areseekinga highly skilled and motivated Data Science Intern to join our dynamic R&D team. You willbe responsible for developing and implementing ML models and algorithms that drive advancements in Relativity's Stargate additive manufacturing platform. You will work closely with cross-functional teams such as Simulation, Robotics, and Software toidentifyand implement ML-based solutions that drive technology development. You will work to understand data from a wide variety of sources in and around the printer and selectappropriate modelarchitectures to achieve business goals.

You'llbe at the cutting edgeoflarge scaleadditivemanufacturingandyou'llget to see the solutions you develop implemented in the Stargate platform.

Key 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 andoptimizethe interactions between materials, printing processes, and product performance.

• Communicate effectively with stakeholders

• 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., Tensor Flow,PyTorch, Scikit-learn).

• Strong theoretical understanding of machine learning and statistics

• Proficiency in statistical analysis, optimization, and data visualization tools.

• 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