Research Scientist (PhD)

Constellation Space Corp.; Seattle (WA); On-site; USD 120,000 - 190,000; Full time

Job summary

Constellation Space Corp. in Seattle seeks 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 will appear in customer pilots and government evaluations. Collaborate with academics, publish or present results, and translate research into code the platform team can ship.

Qualifications

• 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).

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.

Skills

Python

PyTorch

JAX

Time-series

Reinforcement learning

Education

Ph.D. in Machine Learning, Applied Mathematics, Physics, Aerospace, Electrical Engineering, or a related field

Tools

Git

Jupyter

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).