Full Stack Engineer - ML Solutions Lab, Machine Learning Solutions Lab

Job summary

Machine Learning (ML) has been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, large-scale optimization of fulfillment center operations.

The ML team within AWS provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects technologies that get deployed on devices the cloud. We're looking for someone with unparalleled knowledge in current development technologies who can thrive in a heterogeneous environment of different languages technologies. You will work very closely with engineers, designers, marketing product managers from inception through delivery of world class applications.

As a Software Development Engineer on the team, you will own significant portions of the product will have significant influence on our strategy by helping define build the next wave of product features system architecture. Machine learning systems are complex there are huge opportunities to work at all levels. You will be a leader on the customer facing applications team that is building highly interactive applications for our customers. These collection of applications enable our customers to optimize their use of key ML services such as Amazon SageMaker Ground Truth Amazon A2I. You'll work across sectors such as insurance, retail, finance, transportation, manufacturing, health care life sciences, public sector. You should be somebody who enjoys working on complex system software, is customer-centric, is passionate about building quality software as well as achieving operational excellence.


This position may require travel of up to 10%, can be located anywhere in US Amazon locations, but is not a remote position.

About Us

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, host annual ongoing learning experiences, including our Conversations on Race Ethnicity (CORE) 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 be curious, 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 professional life is critical to life-long happiness fulfillment. We offer flexibility in working hours encourage you to find your own balance between your work personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels tenures, we’re building an environment that celebrates knowledge sharing mentorship. Our senior members enjoy one-on-one mentoring thorough, but kind, code reviews. We care about your career growth strive to assign projects based on what will help each team member develop into a better-rounded engineer 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.

• Bachelor's degree in Computer Science or related field
• 2+ years of experience with at least one modern such as React/Angular, Java, Python, C++, or C# including object-oriented design as a Full Stack development engineer

Preferred Qualifications

• Experience building tools for data scientists or developers.
• Familiarity with Frontend design concepts in order to work with UX designers, and able to clearly outline the expectations to backend SDEs
• Experience with CI/CD in a frontend context.
• Experience establishing and leveraging web analytics.
• Knowledge of professional software engineering practices & best practices for the full software development life cycle, 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.
• Experience in communicating with users, other technical teams, and management to gather requirements, describe software product features, and technical designs.
• Knowledge of Machine Learning, Lambda, Jupyter Notebooks is a great plus

Amazon is committed to a diverse inclusive workforce. Amazon is an equal opportunity employer does not discriminate on the basis of race, ethnicity, 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




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.