Machine Learning Risk Modeler

3 days ago


San Diego, California, United States Amazon Full time

Are you passionate about developing cutting-edge machine learning models to protect Amazon customers from bad actors? Do you enjoy tackling complex problems that have a direct impact on customer trust and safety?

The Amazon Account Integrity team is looking for a skilled Machine Learning Applied Scientist to join our innovative team of scientists. As a member of our team, you will be responsible for building advanced algorithmic systems that integrate state-of-the-art techniques like reinforcement learning, large language models, graph analytics, and traditional machine learning methods.

We are committed to ensuring that our customers are protected from unauthorized access to their accounts. To achieve this goal, we invest in mechanisms that allow us to accurately identify and mitigate risk, and to quickly correct and learn from our mistakes. This strategy includes continuously evolving enforcement policies, iterating our machine learning risk models, and exercising high-judgment decision-making where automation is not possible.

If you have a strong background in machine learning, programming, and problem-solving, and if you're excited by the prospect of working at the forefront of AI and machine learning, then this could be the perfect opportunity for you.

Estimated Salary: $160,000 - $200,000 per year



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