Applied Scientist • Senior

Who you are

You have 3+ years of experience building models for business applications, demonstrating your ability to tackle complex problems with innovative solutions. With a PhD or Master's degree in Computer Science, Computer Engineering, Machine Learning, or a related field, you possess a strong foundation in the principles of machine learning and data analysis. Your programming skills in Java, C++, and Python enable you to develop robust models and algorithms that drive business success. You are familiar with algorithms and data structures, which allows you to optimize your solutions effectively.

You thrive in environments with high ambiguity and complexity, where you can lead end-to-end machine learning initiatives from problem formulation to production deployment. Your hands-on experience with large-scale datasets equips you to perform in-depth analyses that improve ad delivery prediction accuracy and operational efficiency. You are passionate about advancing the state of the art in machine learning techniques and applying them to real-world forecasting challenges.

What you'll do

In this role, you will lead and contribute to machine learning initiatives that enhance Amazon's advertising business. You will develop and optimize forecasting models by analyzing large-scale datasets, ensuring that ad delivery predictions are accurate and efficient. Your responsibilities will include building, experimenting, and deploying machine learning models through rapid prototyping and rigorous experimentation, collaborating closely with software engineering teams to ensure seamless productization.

You will design and execute A/B experiments, collecting performance data and conducting statistical analyses to validate the impact of your models. Establishing scalable machine learning infrastructure will be a key part of your role, including creating automated pipelines for data processing, model training, validation, and serving. Your research will focus on innovative machine learning techniques that can be applied to forecasting challenges, directly influencing advertiser success and shaping the future of programmatic advertising.

What we offer

At Amazon, you will join a highly motivated and collaborative team that encourages experimentation and innovation. You will have the opportunity to work on cutting-edge technologies at the intersection of Generative AI and large-scale machine learning. We offer a competitive salary range of $171,600.00 - $222,200.00 annually, along with comprehensive benefits including health insurance, 401(k) matching, and paid time off. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.