Feeny
Constellation Space

Research Scientist (PhD) at Constellation Space (Seattle, WA)

Constellation Space· Seattle, WA· $160k–$210k·

Role details

Salary
$160k–$210k
Work type
Onsite
Employment
Full-Time

Job description

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).

Why work at Constellation Space

  • Culture highlights: Early-stage startup with a small, highly experienced founding team tackling infrastructure problems that directly impact space operations. Emphasis on autonomy, ownership, and solving hard technical challenges.
  • Remote/hybrid/office policy: Headquarters in Seattle, WA; likely hybrid or in-office given the nature of space systems work (not explicitly stated).
  • Notable perks or engineering culture: Backed by top-tier VCs (YC, NVIDIA, OpenAI); opportunity to work on mission-critical AI/ML and network orchestration for the space industry; deep technical challenges in ML, distributed systems, and real-time control.

Application questions