Software Engineering • Mid-Level

Who you are

You have a strong background in software engineering, particularly in developing large-scale, distributed applications. Your experience includes working with Java and AWS, and you thrive in Agile environments where collaboration and innovation are key. You are passionate about technology and enjoy seeing your work impact millions of users.

You have a solid understanding of machine learning concepts and data services, which allows you to contribute effectively to projects involving AGI and Gen-AI technologies. Your ability to interface with diverse stakeholders, including program managers and business stakeholders, ensures that you gather requirements effectively and deliver high-quality solutions.

What you'll do

In this role, you will develop and maintain key features of the AGI Data Services system, ensuring that it meets the needs of Amazon's scientists working on advanced machine learning models. You will collaborate with team members to devise design approaches and prototype new technologies, evaluating their technical feasibility. Working in an Agile/Scrum environment, you will deliver high-quality software against tight schedules, applying your knowledge of technology options and design techniques to create integrated solutions.

You will also participate in peer reviews with other engineers, fostering a culture of collaboration and continuous improvement. Your contributions will directly impact the lifecycle of AGI, as you help define data collection needs and identify data that yields the best outcomes for AGI models. This role offers you the opportunity to work on innovative projects that push the boundaries of technology.

What we offer

At Amazon, you will be part of a dynamic team that values innovation and creativity. We provide a supportive environment where you can grow your skills and advance your career. You will have access to cutting-edge technologies and the chance to work on projects that have a significant impact on the future of machine intelligence. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.