Graduate/PhD Research Intern, Machine Learning
About the role
About Constellation
Constellation is building software to model, predict, and improve satellite network operations. We combine simulation, data/ML workflows, and product-facing platform systems to support better operational decisions.
Role Overview
We are seeking a research-focused ML intern (MS/PhD level) to help advance our modeling and experimentation capabilities. This role is ideal for someone who enjoys turning research ideas into rigorous experiments and high-quality prototypes that can influence real product and platform direction.
Note: This role requires access to ITAR-controlled data, so we need candidates to be U.S. persons (citizen, green card holder, or asylee/refugee).
What You’ll Do
- Design and run ML experiments for forecasting and anomaly/risk prediction in network operations
- Develop and evaluate models using time-series, probabilistic, and simulation-informed approaches
- Improve feature engineering, dataset quality, and evaluation methodology
- Build reproducible research workflows for training, validation, and model comparison
- Communicate findings through clear technical writeups and recommendations
What We’re Looking For
- Currently enrolled in an MS or PhD program (CS, EE, Aerospace, Applied Math, or related)
- Strong low level engineering skills and comfort with scientific/ML tooling (C++, Python, Rust)
- Ability to own projects end-to-end: scoping, implementation, testing, and communication
- Clear written/verbal communication and strong collaboration habits
Nice to Have
- Experience with APIs, cloud infrastructure, or data-intensive systems
- Familiarity with model evaluation, experiment tracking, and reproducibility
- Background in networking, geospatial systems, telecom, or space-tech
About Constellation Space
Constellation Space is building the autonomous infrastructure layer for the next generation of space networking. As satellite constellations rapidly scale from hundreds of nodes to tens of thousands, traditional ground-based orchestration fundamentally breaks down. ConstellationOS bridges this gap by providing zero-intervention network handoffs, predictive thermal load-balancing, and sub-second optical routing.
Our founding team spent years building and operating satellite systems at SpaceX, Blue Origin, and NASA. We started Constellation to solve the problem we kept running into: reactive monitoring doesn't scale.
We are building the sub-second routing protocols and hyperscale load-balancing infrastructure that will manage the future of off-world telecommunications and compute.
Other roles at Constellation Space
Job details
Salary
$6,000 - $7,000
Location
Seattle, WA
Funding
Total raised
$500K
Last stage
Seed
Investors
Founders
What happens next.
No applications, no recruiter spam. Just the intro.
Confirm the fit
A few questions to make sure this role is the right shape for you. Two minutes.
I pitch you to the company
I write the intro, send it to the founder, and handle the back-and-forth.
A meeting lands on your calendar
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.