Artificial intelligence-assisted Reliability Engineer Intern

1 week ago

Taipei, Taiwan Amazon Full time
Amazon development center develops innovative consumer-centric safety total solutions and products mainly to make neighborhoods safer. As a smart security company, we strive to make safety and security accessible to everyone, empowering communities to work together for a safer future.
As an AI-assisted reliability engineer intern, you will be part of a reliability team to assist in delivering solutions through artificial intelligence assistance. You will utilize Amazon-established AI tools (so-called AI agent, AI proxy) to assist senior reliability engineers in both the US and Taiwan for the development of reliability execution methodologies, failure analysis techniques, product lifespan projection to enhance product reliability and design optimization. The selected candidate will be responsive, flexible, and able to succeed within an open-collaborative peer environment.

#auta-twn

Key job responsibilities
The Role:

• 1-year-intern. Able to work 4~5 days per week.

• Develop and implement novel machine learning algorithms, focusing on computer vision and generative AI applications.

• Design and optimize scalable AI systems for large-scale datasets, ensuring high performance and accuracy

• Apply state-of-the-art Machine Learning and AI research to solve complex reliability challenges and product lifespan projection.

• Create clear technical documentation and reports to effectively communicate concepts and results.

• Work closely with senior reliability engineers in reporting reliability execution progress, and failure analysis.

• Participate in evaluating and developing reliability test methodologies to reduce test time and increase test coverage.

• Working location: Taipei

Basic Qualifications:
- Are enrolled in or have completed a Master's degree or above in enginnering or equivalent
- Speak, write, and read fluently in Mandarin
- Currently enrolled in a master's program in Computer Science, Electrical Engineering, Chemical Engineering, Mechanical Engineering, or related field with focus on deep learning and computer vision.
- Programming experience in C++ and Python
- Experience in implementing computer vision algorithms using multiple toolkits
- Proficient in both English and Chinese

Preferred Qualifications:
- Understanding of the principles and basic structures of measuring instruments such as heat soak chambers, FTIR, and SEM, etc.
- Strong organizational and problem-solving skills
- Demonstrated critical thinking capability
- Self-motivated and proactive
- Experience or coursework with reliability knowledge, statistical knowledge and be able to use reliability and statistical methods to do data analysis.
- Experience with failure analysis techniques to isolate failure for test issues.

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, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

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