The AWS Center for Quantum Computing (CQC) is hiring a Machine Learning Engineer to develop optical defect detection ML models. You will build ML-driven solutions that enhance our quality assurance processes and accelerate our device manufacturing pipeline. You will work closely with other Software Development Engineers and Research Scientists from our fabrication team.
Key job responsibilities
* Develop and maintain platforms for developing, evaluating, and deploying machine learning models for real-world applications.
* Quickly acquire knowledge of emerging technologies in Generative AI to solve complex problems in the data exploration domain.
* Work directly with scientists and engineers to understand their data and propose frameworks for ingesting it to produce actionable metrics.
* Implementation of design proposals in a logical and maintainable manner. Taking ownership over the stability and quality of the software stack by identifying, proposing, and implementing features that will accelerate our realization of quantum computing technologies.
We are looking for candidates with strong engineering principles, resourcefulness, a bias for action, superior problem-solving skills, and excellent communication skills. Candidates should also possess a genuine curiosity and readiness to grasp the domain knowledge of our research scientists. Working effectively within a team environment is essential. As a software engineer embedded in a research organization, you will have the opportunity to work on new ideas and contribute to the development of fault-tolerant quantum computers.
Example projects include:
* Develop an optical defect detection & classification ML vision model
* Establishing an active learning pipeline that improves model performance using human feedback
About the team
You will be joining the Device Lifecycle software development team within the AWS Center of Quantum Computing. Our team is comprised of software engineers who are building software that enables scaling up quantum computing technologies.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Export Control Requirement:
Due to applicable export control laws and regulations, candidates must be either a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be able to obtain a US export license. If you are unsure if you meet these requirements, please apply and Amazon will review your application for eligibility.
