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Senior Applied Scientist, ML for Large-Scale Fraud & Connectivity
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What they do
A Machine Learning Engineer specializes in designing, building, and deploying machine learning models. They utilize statistical and mathematical techniques, parallelizing processing, hyperparameter tuning, and other optimization methodologies to improve model performance. Responsibilities also include collecting and preprocessing large datasets, conducting exploratory data analysis, working closely with data engineers to understand data requirements, and engineer input variables for machine learning models.
$157,304 / year median in Washington
Job Description
Amazon in Redmond is seeking a Senior Applied Scientist to lead initiatives for Amazon Leo's satellite network. You will leverage machine learning to enhance fraud detection and improve customer experience. The role requires collaboration across internal teams and offers the opportunity to work with large-scale data. Ideal candidates have a PhD or Master's degree with 6+ years of experience in applied research and programming skills in languages such as Java or Python. Comprehensive benefits and competitive salary range are offered.
Benefits
- Dental Insurance