Applied Scientist, FinAuto - Payroll Tech

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Are you excited about solving complex business problems at scale through GenAI? Are you fascinated about the application of Agentic AI and LLMs on real-life scenarios? Are you looking to invent solutions that drive Autonomous Artificial Intelligence? If so, we are looking for you to fill a challenging position on Amazon's Payroll Tech team.

You will leverage your expertise in machine learning, data science, and applied research to develop innovative solutions that drive operational efficiency, enhance compliance, and improve controllership across our Global Payroll Operations.

Key job responsibilities
Conduct in-depth analysis of payroll data and processes to identify opportunities for ML/AI-driven automation and optimization
Design, develop, and deploy scalable ML models and algorithms to automate payroll compliance checks, anomaly detection, and reporting
Collaborate cross-functionally with payroll, finance, and technology teams to understand business requirements and translate them into effective AI/ML solutions
Continuously monitor model performance, gather feedback, and iterate to improve the accuracy and reliability of your solutions
Document your work, share learnings, and present your findings to technical and non-technical stakeholders
Stay up-to-date with the latest advancements in machine learning and apply innovative techniques to drive continuous improvement

About the team
Inclusive Team Culture:
Here in FinAuto, we embrace our differences. We are committed to furthering our culture of inclusion. Amazon's culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Balance:
Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth:
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

- Master's degree or above in computer science, mathematics, statistics, machine learning or equivalent quantitative field
- Experience building machine learning models or developing algorithms for business application
- Experience programming in Java, C++, Python or related language

- Experience implementing algorithms using both toolkits and self-developed code
- Have publications at top-tier peer-reviewed conferences or journals

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