Machine Learning Engineer, Generative AI Innovation Center

Amazon launched the Generative AI (GenAI) Innovation Center (GenAIIC) in June 2023 to help AWS customers accelerate enterprise innovation and success with Generative AI. As a Machine Learning Engineer in GenAIIC, you will be at the forefront of developing and deploying advanced ML models and pipelines to solve diverse customer problems using generative AI.

The role involves working alongside scientists with terabytes of text, images, and other types of data to develop Gen AI based solutions for real-world problems. You'll be designing and running experiments, researching new algorithms, and finding innovative ways to optimize risk, profitability, and customer experience.

AWS values diverse experiences and maintains an inclusive team culture through employee-led affinity groups and ongoing learning experiences. The position offers significant opportunities for growth through knowledge-sharing, mentorship, and career advancement resources. You'll be working in a startup-like development environment where you're always focused on the most impactful projects.

Key responsibilities include solving complex technical problems across the entire stack, implementing and maintaining ML solutions, and building high-quality, always-available products. You'll collaborate with cross-functional teams, participate in design discussions, and provide technical input to drive business solutions.

The ideal candidate should have extensive experience in software development, system architecture, and machine learning, with a proven track record of delivering complex systems to customers. This role offers the opportunity to work with cutting-edge technology while contributing to AWS's mission of being Earth's Best Employer.

Working at AWS means joining a team that pioneered cloud computing and continues to innovate. You'll be part of a culture that emphasizes work-life harmony and provides the flexibility needed to achieve success both professionally and personally. The role offers the chance to work on transformative projects while being supported by a collaborative and inclusive environment.