Applied Scientist - ML for Employee Experience

Amazon Science; Seattle (WA); Vor Ort; USD 136.000 - 184.000; Vollzeit

Zusammenfassung

Amazon Science is seeking an Applied Scientist to build scalable ML systems that power employee experience initiatives. You will design, develop, and deploy ML solutions spanning predictive modeling, CV, NLP, recommendations, and generative AI. You will collaborate with cross-functional partners and mentor interns as needed.

The role emphasizes production-grade code, strong scientific rigor, and the ability to translate business challenges into robust technical solutions for millions of users.

Qualifikationen

• Master's degree or above in Engineering, Computer Science, Machine Learning, Operations Research, Statistics, or related fields.
• Experience building machine learning models or developing algorithms for business application.
• Experience researching about machine learning, deep learning, NLP, computer vision, data science.
• Experience programming in Java, C++, Python or related language.

Aufgaben

• Apply and adapt state-of-the-art scientific techniques to solve well-defined problems in employee experience, using reasonable assumptions, data, and customer requirements.
• Design, develop, and implement small-to-medium ML components with input and guidance from senior scientists, taking ownership of the code in your components.
• Write secure, stable, testable, maintainable, well-reviewed code to deliver solutions into production that benefit customers and the business.
• Collaborate with cross-functional partners to understand business context and impact, and help mentor interns.
• Communicate complex technical concepts to diverse audiences, from technical peers to senior leadership.

Kenntnisse

ML model development

Research in ML fields

Programming in Java/C++/Python

Communicate across teams

Ausbildung

Master's degree or above in Engineering/CS/ML/OR/Statistics

PhD in related fields (preferred)

Jobbeschreibung

Amazon Science is seeking an Applied Scientist to build scalable ML systems that power employee experience initiatives. You will design, develop, and deploy ML solutions spanning predictive modeling, CV, NLP, recommendations, and generative AI. You will collaborate with cross-functional partners and mentor interns as needed.

The role emphasizes production-grade code, strong scientific rigor, and the ability to translate business challenges into robust technical solutions for millions of users.