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Constellation Space

Research Scientist (PhD)

  • Seen live on Constellation Space's site yesterday
  • Mid level
Pay
$160k to $210k a year USD
Location
Seattle
Open for
17+ days
First seen
Oct 18, 2026

Posting record

No flags

Open 17+ days

The posting's record, oldest first
  1. Constellation Space's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Constellation Space, so its true age is longer.

Last checked Nov 3, 2026.

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What the posting discloses

Pay
$160k to $210k a year USD

Not stated: Real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Skills mentioned

About the role

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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