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Key job responsibilities
A Senior Research Engineer in the AWS AI team has the following responsibilities:* Define, design and lead the development of tools that accelerate the science experimentation and delivery process
* Design and guide the science team's implementation, enabling Science proof of concepts that help decide the ultimate science solution strategy, algorithm workflow, and the individual science components that become a release candidate
* Advise and drive implementation for research projects and act as a bridge between science and engineering for eventual productization of new algorithms
* Lead other research engineers in their day to day activities
* Handle and implement code for training and evaluation, apply and adapt known science methodsAbout the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred 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.Why AWSWork/Life BalanceInclusive Team CultureMentorship and 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.
- 6+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- 4+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
- Bachelor's degree in computer science or equivalent
- Master's degree in computer science or equivalent
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