SDE II, Machine Learning University

Seattle, Washington, USA

Full Time
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Posted 2 weeks ago

Our mission is to make machine learning (ML) accessible to anyone, anywhere, anytime through education. We believe strongly that a practical knowledge of ML can be taught broadly, and is a key skill for many builders to learn. Come join Amazon’s Machine Learning University and help spread knowledge of ML!

MLU is looking for a software development engineer (SDE II) is excited about delivering an educational experience that demystifies machine learning and empowers builders to deliver those capabilities at scale. The ideal candidate is passionate about education, interested in machine learning, is familiar with developing on AWS and has a track record of creating robust solutions that produce delightful customer experiences. As a developer at MLU, you will contribute to all aspects of an agile software development lifecycle including design, architecture, development, documentation, testing and operations. You have strong verbal and written communication skills, are self-driven, and can deliver high quality results in a fast-paced environment where learning new concepts quickly is a must.

If you are passionate about democratizing AI, thrive in a start-up environment, and have fun solving complex technical problems, we would like to talk to you! The team is small and focused today, and will grow over the coming year. You’ll collaborate closely with research scientists, curriculum developers, product managers, and other SDE team members to help define the scope of the product, giving you plenty of opportunity to grow your skills, and play to your strengths.

As a team, diversity, inclusion and equality are important to us. We seek diverse builders from all walks of life to join our team, and we encourage our employees to bring their authentic, original, and best selves to work.

Basic Qualifications


· Bachelor's degree in Engineering, Computer Science or related technical field or equivalent combination of technical education and work experience.

Preferred Qualifications

· Advanced degree in in Engineering, Computer Science or related technical field or equivalent combination of technical education and work experience.
· Expertise in designing and building systems in AWS
· Knowledge of professional software engineering practices & best practices including coding standards, code reviews, source control management, build processes, testing, and operations
· Ability to take a project from scoping requirements through actual launch of the project.
· Continually challenge what exists and explore what should be changed to best meet evolving customer needs
· A willingness to dive deep, experiment rapidly and get things done.
· A passion for education and an interest in machine learning

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, visit https://www.amazon.jobs/en/disability/us


Job tags: AI AWS Engineering Machine Learning ML Research
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