Machine Learning Engineer at Constellation Space (Seattle, WA)
Constellation Space· Seattle, WA· $120k–$180k·
Role details
Salary
$120k–$180k
Work type
Onsite
Employment
Full-Time
Job description
The Role
We are looking for a Machine Learning Engineer to bridge the gap between AI research and production-grade flight systems. You will optimize, deploy, and scale machine learning models that directly impact Constellation’s orbital systems and ground operations.
Responsibilities
- Deploy, monitor, and maintain ML models in production environments.
- Build robust MLOps pipelines for continuous training and integration of models using telemetry data.
- Optimize algorithms for low-latency inference on edge devices (spacecraft hardware).
- Collaborate with data scientists and flight software engineers to integrate AI capabilities into core flight systems.
Requirements
- B.S. or M.S. in Computer Science, Engineering, or equivalent experience.
- Proven experience deploying machine learning models into production.
- Strong software engineering skills in Python and C++.
- Experience with cloud platforms, containerization (Docker), and MLOps tools.
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.