Software Development Engineer, Finance Technology, ATARI

Join Amazon's Finance Technology group to build cutting-edge big data and machine learning applications that process and analyze transactions worth billions of dollars daily. As a Software Development Engineer, you'll be at the forefront of developing fraud detection systems utilizing advanced techniques like Generative AI and Large Language Models. The role offers the opportunity to make tangible impact measured in millions of dollars saved.

You'll work with massive datasets in the terabytes range, developing robust ML pipelines that process billions in transaction value. The position involves close collaboration with machine learning scientists, fellow software engineers, and finance teams across Amazon. Direct interaction with internal customers ensures requirements are well understood and feedback is immediately incorporated.

The team's mission focuses on driving wider adoption of machine learning solutions for finance processes, particularly in preventing, recovering, and avoiding internal and external theft, fraud, abuse, and waste. You'll participate in all aspects of the software development process, from design collaboration to implementation, ensuring solutions are both scalable and extensible.

This role offers the unique opportunity to apply advanced machine learning capabilities at massive scale, directly impacting Amazon's finance operations. The team culture encourages innovation and experimentation, allowing you to test new ideas in production environments with real financial data and processes. If you're passionate about combining software engineering with machine learning to solve complex financial challenges, this position offers the perfect platform to make a significant impact.