Machine Learning Engineer - Automated Optical Inspection, Center for Quantum Computing
Description For Machine Learning Engineer - Automated Optical Inspection, Center for Quantum Computing
The AWS Center for Quantum Computing (CQC) is seeking a Machine Learning Engineer to join their Device Lifecycle software development team. This role focuses on developing optical defect detection ML models and building ML-driven solutions to enhance quality assurance processes and accelerate device manufacturing pipelines.
The position offers a unique opportunity to work at the intersection of machine learning and quantum computing, where you'll collaborate closely with Software Development Engineers and Research Scientists. As part of AWS Utility Computing, you'll contribute to foundational services like S3 and EC2, while supporting specialized security solutions for cloud services.
Amazon emphasizes work-life harmony and values diverse experiences, welcoming candidates from all backgrounds, including those with non-traditional career paths. The company provides extensive support for professional growth through mentorship, knowledge-sharing, and employee-led affinity groups that foster inclusion.
Key responsibilities include developing ML platforms, implementing computer vision models for defect detection, and establishing active learning pipelines. The role requires strong engineering principles, problem-solving abilities, and excellent communication skills. You'll work in a research organization, contributing to the development of fault-tolerant quantum computers.
The position offers competitive compensation ranging from $129,300 to $223,600 based on location and experience, plus comprehensive benefits. This is an excellent opportunity for someone passionate about applying ML to advance quantum computing technologies while working with cutting-edge technology at one of the world's leading cloud providers.
Responsibilities For Machine Learning Engineer - Automated Optical Inspection, Center for Quantum Computing
- Develop and maintain platforms for developing, evaluating, and deploying machine learning models
- Acquire knowledge of emerging technologies in Generative AI
- Work directly with scientists and engineers to understand their data
- Implementation of design proposals in a logical and maintainable manner
- Develop optical defect detection & classification ML vision model
- Establish an active learning pipeline that improves model performance
Requirements For Machine Learning Engineer - Automated Optical Inspection, Center for Quantum Computing
- Experience working in production ML environments, including deploying computer vision models
- Experience developing automation to solve problems at scale
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship experience in system design
- MSc or PhD in a STEM discipline (preferred)
- Experience working with scientists in a research environment (preferred)
- Experience with Infrastructure as Code tools (preferred)
Benefits For Machine Learning Engineer - Automated Optical Inspection, Center for Quantum Computing
- Work-life balance
- Mentorship and career growth
- Inclusive team culture
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