Sr. Applied Scientist, Kuiper Ground Systems Engineering

Amazon; Redmond (WA); On-site; USD 150,000 - 260,000; Full time

Job summary

An innovative company seeks a talented Applied Scientist to contribute to a groundbreaking initiative aimed at providing high-speed broadband connectivity through a constellation of Low Earth Orbit satellites. This role involves developing solutions for complex scientific applications, including anomaly detection and advanced calibration methods. The ideal candidate will possess a strong data-driven mindset and thrive in a fast-paced environment. Join a dynamic team dedicated to optimizing satellite ground systems and making a global impact. This is an exciting opportunity to push the boundaries of technology and contribute to a project that aims to reshape connectivity for underserved communities.

Qualifications

• 6+ years of experience in building models for business applications.
• Strong background in probability and statistics.
• Experience in cloud application development.

Responsibilities

• Owns end-to-end development of solutions for business problems.
• Collaborates with engineers to deploy scalable applications.
• Writes internal science documentation and external publications.

Skills

Machine Learning

Statistical Modeling

Python

C/C++

Java

Rust

Bayesian Inference

Stochastic Processes

Algorithms and Data Structures

Education

Master's Degree

PhD

Job description

Join to apply for the Sr. Applied Scientist, Kuiper Ground Systems Engineering role at Amazon

Project Kuiper is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband connectivity to unserved and under-served communities around the world. We are looking for an accomplished Applied Scientist who will help lay down the foundation of various science applications such as anomaly detection, advanced calibration methods, space engineering simulations, analytics, operational research, etc. The ideal candidate:

• 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 others

Key job responsibilities include:

1. Owns the end-to-end development of solutions for concrete business problems:
2. Translate ambiguous problems into well defined mathematical problems
3. Propose relevant metrics, evaluation methods, and dashboards
4. Formulate hypotheses, create test environments, collect data, and present results
5. Prototype, test, and implement state-of-the-art algorithms
6. Collaborate closely with engineers to deploy performant, scalable, and maintainable applications in the cloud
7. Write internal science documentation and external publications

Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

A day in the life: In this role as an Applied Scientist, you will design, implement, optimize, and operate systems critical to the uptime and performance of Kuiper ground terminals. Your contributions will have a direct impact on customers around the world.

About The Team: The Kuiper Ground Systems Engineering team is responsible for the development, deployment, and long-term performance optimization of Kuiper satellite ground terminals located around the world (Gateway and Telemetry, Tracking, and Command (TT&C)). Ground terminals include full-motion parabolic antennas, radio frequency spectrum monitoring, terminal monitoring and control, and fault management systems. These software-driven distributed systems form the communications backbone for the Kuiper constellation and must provide the world-class reliability, uptime, and performance our customers expect from Amazon.

Responsibilities: This role will be part of the Software and Algorithms (SWALG) team, part of Ground Systems Engineering. SWALG is responsible for:

1. 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.
2. Ground systems integration/test (I&T) automation
3. Ground terminal configuration, provisioning, and acceptance automation
4. Systems analysis
5. Algorithm development (pointing/tracking/calibration/monitoring)
6. Software interface definition for supplier-provided hardware and development of software test automation
7. Definition of use cases/requirements needed to drive ground modem software development

Basic Qualifications:

• 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 relevant experience in computer science, statistical modeling, machine learning, or related field
• Excellent probability and statistics core
• Experience in stochastic processes, Bayesian inference, and sampling methods (e.g., Monte Carlo Markov Chain)
• Proficiency in Python, C/C++, Java, Rust or related languages

Preferred Qualifications:

• 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
• Expertise in science/data science development in Python

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. The salary range for this role varies by location, with a base pay from $150,400 to $260,000 per year, depending on market and experience. Additional compensation such as equity and sign-on bonuses may be offered. For more information, visit https://www.aboutamazon.com/workplace/employee-benefits. This position remains open until filled. Applicants should apply via our career site.