Join Amazon's Account Integrity Team as a Senior ML Applied Scientist
Are you passionate about using machine learning and statistical techniques to enhance customer experience and protect users from malicious activities? Amazon's Account Integrity team is seeking a Senior ML Applied Scientist to develop advanced algorithmic systems that safeguard millions of customers daily.
About the Role
As a Senior ML Applied Scientist, you will be part of a dynamic team that focuses on protecting customer trust by identifying and mitigating risks associated with account access. Your role will involve building and iterating on machine learning models to accurately detect and prevent unauthorized access while minimizing false positives.
Key Responsibilities
- Develop and implement machine learning models to enhance account security.
- Analyze and model large datasets to create state-of-the-art algorithms.
- Collaborate with cross-functional teams to iterate on risk models and enforcement policies.
- Utilize high-performance computing and numerical optimization techniques to improve model efficiency.
- Communicate findings and present data-driven insights to stakeholders.
Basic Qualifications
- PhD or Master's degree in Computer Science, Machine Learning, or a related field with 4+ years of experience.
- Proficiency in programming languages such as Java, C++, and Python.
- Experience in algorithms, data structures, numerical optimization, and high-performance computing.
- Strong problem-solving skills and ability to present data effectively.
Preferred Qualifications
- PhD in a highly quantitative field such as Computer Science or Statistics.
- 3+ years of industry experience in predictive modeling and large data analysis.
- Expertise in Python/Spark, Java/C++, and SQL.
- Hands-on experience with reinforcement learning or generative models.
Why Amazon?
Amazon is committed to a diverse and inclusive workplace. We offer a comprehensive compensation package, including equity, sign-on payments, and a full range of medical and financial benefits. Join us to innovate and simplify, and be part of a team that values customer obsession and operational excellence.
Apply now to be part of a team that is at the forefront of protecting customer trust and safety at Amazon.
Benefits Extracted with AI
- Medical insurance
- Financial benefits
- Equity
- Sign-on payments
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