📋 Description

• 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