Amazon Sr Applied Scientist Kuiper Ground Systems Engineering 

United States, Washington, Redmond 

822256242

* Thinks big and demonstrates bias for action while delivering short and long term results
* Creative and capable of finding elegant solutions to ambiguous problems
* Strong scientist/data-driven mindset with good intuition and strong backbone yet remains open-minded, respectful to others’ opinions, and naturally challenges their own beliefs
* Enjoys working in a fast-paced, start-up-like environment
* Eager to learn about new subjects and work outside their comfort zone
* Strong team player who empowers and learns from othersKey job responsibilities
* Owns the end-to-end development of solutions for concrete business problems:
* Translate ambiguous problems into well defined mathematical problems
* Propose relevant metrics, evaluation methods, and dashboards
* Formulate hypothesis, create test environments, collect data, and present results
* Prototype, test, and implement state-of-the-art algorithms
* Collaborate closely with engineers to deploy performant, scalable, and maintainable applications in the cloud
* Write internal science documentation and external publications
Export Control Requirement:
A day in the life* Design, development, deployment, and support of a tier 1 Monitoring and Remediation System (MARS) needed to maintain high availability of hundreds of ground terminals deployed around the world.
* Ground systems integration/test (I&T) automation
* Ground terminal configuration, provisioning, and acceptance automation
* Systems analysis
* Algorithm development (pointing/tracking/calibration/monitoring)
* Software interface definition for supplier-provided hardware and development of software test automation
* Definition of use cases/requirements needed to drive ground modem software development

- Master's degree
- 6+ years of building models for top-tier business applications or strong academic records
- PhD, or Master's degree and 4+ years of computer science, statistical modeling, machine learning, or related field experience
- Excellent probability and statistics core
- Experience in stochastic processes, Bayesian inference, and sampling methods (e.g. Monte Carlo Markov Chain)
- Demonstrated proficiency in Python, C/C++, Java, Rust or related language

- Experience in calibration and anomaly detection
- Experience in hardware projects
- Good knowledge of neural methods
- Experience in cloud application development
- Strong algorithms and data structures skills
- Expert science/data science development experience in Python