Software Engineering • Mid-Level

Who you are

You have a strong background in software engineering with experience in developing large-scale, distributed applications — you've contributed to projects that involve machine learning technologies and understand the intricacies of data services. Your expertise includes working with Human-In-The-Loop systems, where you've helped create high-quality datasets for training AI models.

You are proficient in SQL and have a solid understanding of various machine learning concepts such as Automatic Speech Recognition and Natural Language Understanding — your experience allows you to effectively contribute to supervised fine-tuning and reinforcement learning projects. You thrive in collaborative environments and enjoy working with cross-functional teams to deliver innovative solutions.

What you'll do

In this role, you will develop and maintain key features of the AGI Data Services system, ensuring that the software meets the high standards required for machine learning applications. You will collaborate with team members to design and implement features that enhance the performance of AI models, focusing on quality assessments and continuous improvement through active learning.

You will be responsible for creating task-specific examples that help train AI models, aligning them based on human feedback to improve their accuracy and helpfulness. Your role will also involve monitoring the performance of these models post-launch, providing insights and feedback to ensure they meet user needs effectively.

What we offer

At Amazon, you will be part of a dynamic team that is at the forefront of machine intelligence. We offer competitive compensation and benefits, along with opportunities for professional growth and development. You will work in an inclusive environment that values diversity and encourages innovation, allowing you to make a significant impact in the field of AI and machine learning.