Applied Scientist: AI for Satellite Manufacturing

Amazon; Bellevue (WA); On-site; USD 143,000 - 193,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Kuiper Manufacturing Enterprises LLC is seeking an Applied Scientist to build the scientific intelligence layer powering satellite manufacturing. You will develop ML models to transform fragmented manufacturing, test, quality, and operational data into actionable intelligence that reduces defects and accelerates production.

You will work on ambiguous, high-impact problems, using state-of-the-art techniques in anomaly detection, information retrieval, and generative AI, with a focus on

Qualifications

• 3+ years of building models for business applications.
• PhD, or Master’s degree and 4+ years of CS, CE, ML or related field experience.
• Experience in patents or publications at top-tier peer-reviewed conferences or journals.
• Experience programming in Java, C++, Python or related language.
• Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.
• Experience using Unix/Linux.
• Experience in professional software development.
• Experience in NLP, information retrieval, multimodal learning, anomaly detection, causal/root-cause inference, or generative AI.
• Experience training or deploying LLM-based systems, RAG, or other modern AI systems.
• Experience designing evaluation datasets and methodologies for production ML systems.
• Experience working with noisy, incomplete, delayed, or weakly labeled data.
• Experience adapting state-of-the-art research to practical business problems.
• Experience building reliable, testable, and maintainable ML components for production environments.
• Experience working with engineering, manufacturing, quality, test, or operations teams.
• Experience in manufacturing, aerospace, robotics, or other complex physical-world systems.
• Experience with governed, access-controlled, or compliance-constrained data environments.
• Experience communicating scientific methods, results, and tradeoffs through clear technical documentation or research publications.

Responsibilities

• Translate ambiguous manufacturing and operational problems into well-defined scientific problems, modeling approaches, and evaluation criteria
• Design, train, and deploy machine learning models, including LLM-based systems, retrieval models, and task-specific models
• Develop and evaluate models using large-scale, noisy, heterogeneous datasets with incomplete ground truth
• Apply state-of-the-art techniques in anomaly detection, root-cause inference, multimodal learning, information retrieval, and generative AI
• Design experiments and evaluation frameworks that capture real-world failure modes, distribution shift, and decision risk
• Make principled tradeoffs among model complexity, data quality, accuracy, latency, cost, and maintainability
• Build production-quality scientific components with appropriate testing, documentation, monitoring, and operational mechanisms
• Work with Manufacturing, Quality, Test, and engineering partners to understand customer needs and translate them into effective scientific solutions
• Analyze model and system performance, identify gaps and root causes, and iteratively improve deployed solutions
• Clearly document scientific approaches, experimental results, design decisions, and lessons learned so that others can understand and reproduce the work
• Contribute to technical discussions, mentor less experienced teammates, and help advance scientific and engineering best practices within the team

Skills

Machine learning

Java/C++/Python

Algorithms & data structures

Software development

Patents/publications

Education

PhD

Master's + 4+ years CS/CE/ML

Tools

Unix/Linux

LLM deployment

Information retrieval

NLP

Distributed computing

Job description

Amazon Kuiper Manufacturing Enterprises LLC is seeking an Applied Scientist to build the scientific intelligence layer powering satellite manufacturing. You will develop ML models to transform fragmented manufacturing, test, quality, and operational data into actionable intelligence that reduces defects and accelerates production.

You will work on ambiguous, high-impact problems, using state-of-the-art techniques in anomaly detection, information retrieval, and generative AI, with a focus on