# Research Scientist (PhD) at Constellation Space

> Onsite · United States · Unspecified · ML / AI · open. Source: https://alderhq.app/jobs/ashby%3Aconstellationspace%3A4b79bd50-b782-4e9b-83e1-78b28fd657e5 (read 2026-11-05).

## Facts (observed)

- Company: [Constellation Space](https://alderhq.app/companies/constellation-space)
- Location text: Seattle
- Where it can be done from (inferred): Onsite · United States (evidence: "Location: Seattle")
- Posted: 2026-06-30 (128 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-03
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.ashbyhq.com/constellationspace/4b79bd50-b782-4e9b-83e1-78b28fd657e5
- Skills listed (inferred): Python, PyTorch

## Pay and sponsorship

- Posted pay: $160k–$210k per year (from the listing's pay field)
- Market band for similar posted roles (Seattle, n 8): p25 $168k, median $180k, p75 $184k

## Description (the employer's text)

### 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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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Aconstellationspace%3A4b79bd50-b782-4e9b-83e1-78b28fd657e5 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.