Artificial intelligence-assisted Reliability Engineer Intern , Amazon Development Center
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Job Location:
Taipei City - Taiwan
Monthly Salary:
Not Disclosed
Posted on:
4 hours ago
Vacancies:
1 Vacancy
Job Summary
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 45 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
- Are enrolled in or have completed a Masters degree or above in enginnering or equivalent
- Speak write and read fluently in Mandarin
- Currently enrolled in a masters 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
- 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 youre applying in isnt listed please contact your Recruiting Partner.
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 45 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
- Are enrolled in or have completed a Masters degree or above in enginnering or equivalent
- Speak write and read fluently in Mandarin
- Currently enrolled in a masters 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
- 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 youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
Intern
Key Skills
- Kubernetes
- FMEA
- Continuous Improvement
- Elasticsearch
- Go
- Root cause Analysis
- Maximo
- CMMS
- Maintenance
- Mechanical Engineering
- Manufacturing
- Troubleshooting
About Company
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