Build and maintain data pipelines, infrastructure, and software to objectively increase the
Design and operate the feature, label, and scoring data that reliability models train and serve on
Train, validate, and iterate models for hardware failure prediction both in production line and
Deploy and operate models in production, including scheduled scoring, versioning, monitoring, and
Contribute to critical Starlink software repositories, working in core internal and customer-facing
Build internal analytics tools, APIs, and applications used by hardware, production, quality

🎯 Requirements

B.S. in computer science, data science, mathematics, electrical engineering, or other STEM
4+ years of professional experience in data science, machine learning, or software engineering
Strong proficiency in Python and SQL
Experience building production data pipelines
Experience deploying machine learning models in production
Must be willing to work extended hours and weekends

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