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Machine Learning Engineer
Summary by AIEngineer.careers
Machine Learning Engineer is a Machine Learning Engineer role (full-time). with Constellation Space. in SEATTLE, US. Imported listing (source: jobs-in.us). Apply on the employer's site (jobs-in.us).
Imported listing (source: jobs-in.us) · Apply on jobs-in.us
SEATTLE · US
—
Full-time
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from jobs-in.us
Constellation Space is seeking a Machine Learning Engineer to bridge the gap between AI research and production-grade flight systems. The role focuses on deploying, monitoring, and maintaining ML models while optimizing algorithms for low-latency inference on edge devices such as spacecraft hardware.
Responsibilities
- Deploying and maintaining ML models in production environments
- Building and managing MLOps pipelines
- Optimizing algorithms for low-latency inference on edge devices
Requirements
- Experience with machine learning model deployment
- Knowledge of MLOps practices and tools
- Ability to optimize algorithms for resource-constrained edge hardware
Nice to Have
- Background in aerospace or spaceflight systems
- Experience with real-time inference optimization
Tech Stack
MLOpsEdge ComputingLow-Latency Inference
CS
Constellation Space
Seattle · US · 7+ employees
Constellation Space is an AI-powered operating system for satellite constellation management. It provides autonomous infrastructure for satellite networks, including predictive link failure analysis and automated network routing.
