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Machine Learning Engineer · United States

Research Scientist (PhD)

constellationspace·Seattle

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THE ROLE

We are looking for a PhD-level Research Scientist to build the models behind ConstellationOS. You will develop forecasting and decision models for satellite link conditions and ground-network operations, and prove them against real data and physics-based baselines. Your work shows up in customer pilots and government evaluations.

RESPONSIBILITIES

  • Develop and train machine learning models that forecast link conditions and support operational decisions.
  • Own data acquisition and preprocessing for telemetry, weather, atmospheric, and RF datasets.
  • Benchmark learned models against deterministic physics models and report results honestly, including failures.
  • Do simulation research for GNC and RF systems.
  • Work with academic groups and publish or present results
  • Turn research into code the platform team can ship.

REQUIREMENTS

  • Ph.D. (or near completion) in Machine Learning, Applied Mathematics, Physics, Aerospace, Electrical Engineering, or a related field.
  • Publications or equivalent research output in forecasting, deep learning, reinforcement learning, or scientific ML.
  • Strong Python and PyTorch or JAX. Able to write research code others can run.
  • Experience with time-series, signal, or physical-system data is a plus.
  • U.S. person required (ITAR).
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