The opportunity
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.
What you'll do
Build and maintain data pipelines, infrastructure, and software to: objectively increase the reliability of Starlink customer hardware
Design and operate the feature, label, and scoring data that reliability: models train and serve on, including backfills, late-arriving data, and data quality
Train, validate, and iterate models for hardware failure prediction both in production line and field
Deploy and operate models in production, including scheduled scoring,: versioning, monitoring, and iteration based on live results
Contribute to critical Starlink software repositories, working in core internal and customer-facing codebases
Build internal analytics tools, APIs, and applications used by hardware,: production, quality, supply chain, and customer experience teams
What they're looking for
- Collaborate across engineering, production, test, inventory, quality, supply: chain, and customer experience to turn analyses and predictions into design, process, and support changes
- Identify customer needs, gather requirements, and execute independently in a: dynamic environment with changing constraints and tight deadlines
- Bachelor’s degree in computer science, data science, mathematics, electrical: engineering, or other STEM discipline
- + years of professional experience in data science, machine learning, or software engineering
