About this role

Amazon is hiring a senior-level Applied Scientist in the machine learning function based in Shanghai, China. The posting calls out experience with Python, Java, A/B Testing, Automation and roughly 3+ years of relevant work. Listed education preference: a Ph.D. or equivalent.

Role: Applied Scientist
Function: machine learning
Level: senior
Track: Individual contributor
Employment: Full-time
Location: Shanghai, China
Experience: 3+ years
Education: Ph.D. preferred
Department: Applied Science
Posted: Apr 21, 2026

AI Summary

Sr. Applied Scientist develops and validates consumer electronics products using physical science expertise, simulation tools (LS-DYNA, Abaqus), and programming (Python, Matlab). Collaborates with cross-functional teams on structural analysis, materials testing, and design optimization from concept through manufacturing.

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Job description

from Amazon careers

As a Sr. Applied Scientist, you will be responsible for bringing new product designs through to manufacturing. You will work closely with multi-disciplinary groups including Product Design, Industrial Design, Hardware Engineering, and Operations, to drive key aspects of engineering of consumer electronics products.

In this role, you will use expertise in physical sciences, theoretical, numerical or empirical techniques to create scalable models representing response of physical systems or devices, including:

* Applying domain scientific expertise towards developing innovative analysis and tests to study viability of new materials, designs or processes
* Working closely with engineering teams to drive validation, optimization and implementation of hardware design or software algorithmic solutions to improve product and customer risks
* Establishing scalable, efficient, automated processes to handle large scale design and data analysis
* Conducting research into use conditions, materials and analysis techniques
* Tracking general business activity including device health in field and providing clear, compelling reports to management on a regular basis
* Developing, implementing guidelines to continually optimize design processes
* Using simulation tools like LS-DYNA, and Abaqus for analysis and optimization of product design
* Using of programming languages like Python and Matlab for analytical/statistical analyses and automation
* Demonstrating strong understanding across multiple physical science domains, e.g. structural, thermal, fluid dynamics, and materials
* Developing, analyzing and testing structural solutions from concept design, feature development, product architecture, through system validation
* Supporting product development and optimization through application of analysis and testing of complex electronic assemblies using advanced simulation and experimentation tools and techniques

Basic Qualifications

- PhD, or Master's degree and 5+ years of industry or academic research experience
- Experience programming in Java, C++, Python or related language

Preferred Qualifications

- PhD with 3+ years of experience in mechanical engineering, electrical engineering, material science, physics or equivalent

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