Join Amazon's Customer Behavior Analytics' Downstream Impact (DSI) team as a Software Development Engineer II, where you'll be at the forefront of building causal machine learning products that shape financial planning decisions worth billions of dollars. This role combines big data engineering with advanced machine learning, processing petabytes of data to deliver insights that drive Amazon's business decisions.
Working in a team of 9 engineers, you'll develop sophisticated data processing systems using AWS technologies and Apache Spark, while applying MLOps principles to facilitate rapid scientific innovation. The role offers an excellent work-life balance, with minimal operational maintenance and most on-call work during business hours.
The position involves collaborating with product managers, data engineers, and scientists to build and scale machine learning workflows. You'll have the opportunity to learn about causal inference and lead the implementation of new concepts in production. The team's work directly influences financial investment forecasting and how hundreds of billions of dollars are spent across Amazon businesses.
The role offers competitive compensation ranging from $129,300 to $223,600 based on location, plus equity and comprehensive benefits. You'll be part of a growing team with an exciting charter through 2025, working on architecture designs, brainstorming with other engineers, and writing code that impacts Amazon's financial decision-making at scale.
This is an ideal opportunity for someone who combines strong software engineering skills with an interest in machine learning and causal inference, offering the chance to work on challenging problems while maintaining a healthy work-life balance. The team's bi-weekly sprint planning, backlog grooming sessions, weekly demos, and bi-monthly team events ensure a structured yet collaborative work environment.