SDE II, Machine Learning University

Job summary
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) that has experience developing in native AWS and is excited about building tools that support MLU’s educational mission of training Amazon’s builders in machine learning. The ideal candidate is passionate about education, interested in machine learning 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.


Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

Basic Qualifications

• 1+ years of experience contributing to the system design or architecture (architecture, design patterns, reliability and scaling) of new and current systems.
• 2+ years of non-internship professional software development experience
• Programming experience with at least one software programming language.

Preferred Qualifications

• Knowledge of AWS Services and building systems in native AWS
• Hands-on experience in technologies ranging from front-end through to back-end systems and all points in between
• 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.
• A willingness to dive deep, experiment rapidly and get things done.
• A passion for education and educational technology.

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, please visit https://www.amazon.jobs/en/disability/us.