Applied Scientist, Worldwide Installments

What you'll do

• Develop and deploy large-scale production ML models and pipelines with direct customer impact.
• Identify business opportunities and lead modeling approaches, risk mitigation, and delivery across Amazon businesses.
• Improve the ML roadmap and coordinate scientists, engineers, and stakeholders on pipelines, analytics, and proof-of-concept applications.

What they ask for

• Master's degree or above in computer science, machine learning, engineering, or a related field.
• 3+ years of building models for business application experience.
• Experience in patents or publications at top-tier peer-reviewed conferences or journals.
• Programming experience in Java, C++, Python or a related language, and experience in at least one listed area: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing.

Nice to have

• PhD in computer science, machine learning, engineering, or a related field.
• 5+ years of building machine learning models or developing algorithms for business application experience; Unix/Linux or professional software development experience.

Pay

142,800.00 - 193,200.00 USD annually (base salary); 142,800.00 - 193,200.00 USD annually (base salary)

Tools

Java, C++, Python, Unix/Linux

AI focus

Develop production machine-learning models and pipelines for fraud detection and financing products, including identifying consumer financial credit and fraud risks.