Applied Scientist, FinAuto - Payroll Tech
Applied Scientist, FinAuto - Payroll Tech
Posted on :
20-05-2025
Employer Active
1 Vacancy
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Job Description
Are you excited about solving complex business problems at scale through GenAI Are you fascinated about the application of Agentic AI and LLMs on reallife 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 Amazons 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 indepth analysis of payroll data and processes to identify opportunities for ML/AIdriven automation and optimization
* Design develop and deploy scalable ML models and algorithms to automate payroll compliance checks anomaly detection and reporting
* Collaborate crossfunctionally 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 nontechnical stakeholders
* Stay uptodate 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. Amazons 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 worklife balance. It isnt about how many hours you spend at home or at work; its 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 lifelong 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 were building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy oneonone 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 betterrounded engineer and enable them to take on more complex tasks in the future.
Masters 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 selfdeveloped code
Have publications at toptier peerreviewed conferences or journals
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
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 indepth analysis of payroll data and processes to identify opportunities for ML/AIdriven automation and optimization
* Design develop and deploy scalable ML models and algorithms to automate payroll compliance checks anomaly detection and reporting
* Collaborate crossfunctionally 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 nontechnical stakeholders
* Stay uptodate 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. Amazons 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 worklife balance. It isnt about how many hours you spend at home or at work; its 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 lifelong 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 were building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy oneonone 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 betterrounded engineer and enable them to take on more complex tasks in the future.
Masters 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 selfdeveloped code
Have publications at toptier peerreviewed conferences or journals
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Employment Type
Full-Time
Key Skills
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