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Applied Scientist, Buyer Risk Prevention (BRP)
Amazon
On-sitemidPosted June 2, 2026
About the Role
Develop, validate, and deploy ML models for buyer risk prevention, including GenAI/LLM applications, and collaborate with engineers to implement them in real-time production systems.
Requirements
Requires applying machine learning and statistical techniques to build and improve risk management models, analyzing large datasets, and experimenting with GenAI/LLMs for real-time fraud prevention.
Full Job Description
Do you want to join an innovative team applying machine learning and advanced statistical techniques to protect Amazon customers and enable a trusted eCommerce experience?
Are you excited about working with large-scale datasets and developing models that solve real-world fraud and risk challenges?
If so, the Amazon Buyer Risk Prevention (BRP) Machine Learning team may be the right fit for you. We are seeking an Applied Scientist to help develop scalable machine learning solutions that safeguard millions of transactions every day.
In this role, you will partner with senior scientists and engineers to translate business problems into data-driven solutions, build and evaluate models, and contribute to next-generation risk prevention systems, including applications of Generative AI and LLM technologies.
Key job responsibilities
Apply machine learning and statistical techniques to build and improve risk management models
Analyze large-scale historical data to identify risk patterns and emerging trends
Develop, validate, and deploy innovative models under the guidance of senior scientists
Experiment with emerging technologies, including GenAI/LLMs, to enhance automation and risk evaluation
Collaborate closely with software engineers to implement models in real-time production systems
Partner with operations and business teams to improve risk policies and operational efficiency
Build scalable, automated pipelines for data analysis, model training, and validation
Monitor model performance and provide clear reporting on key risk and business metrics
Research and prototype new modeling approaches to improve system performance
Are you excited about working with large-scale datasets and developing models that solve real-world fraud and risk challenges?
If so, the Amazon Buyer Risk Prevention (BRP) Machine Learning team may be the right fit for you. We are seeking an Applied Scientist to help develop scalable machine learning solutions that safeguard millions of transactions every day.
In this role, you will partner with senior scientists and engineers to translate business problems into data-driven solutions, build and evaluate models, and contribute to next-generation risk prevention systems, including applications of Generative AI and LLM technologies.
Key job responsibilities
Apply machine learning and statistical techniques to build and improve risk management models
Analyze large-scale historical data to identify risk patterns and emerging trends
Develop, validate, and deploy innovative models under the guidance of senior scientists
Experiment with emerging technologies, including GenAI/LLMs, to enhance automation and risk evaluation
Collaborate closely with software engineers to implement models in real-time production systems
Partner with operations and business teams to improve risk policies and operational efficiency
Build scalable, automated pipelines for data analysis, model training, and validation
Monitor model performance and provide clear reporting on key risk and business metrics
Research and prototype new modeling approaches to improve system performance
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Compensation
AI Est. Total Comp
$62,000
Details
Location
Bengaluru, Karnataka, IND
Work Type
On-site
Seniority