Applied Scientist, Amazon Financials Foundation Services (AFFS) - Amazon

Description Are you interested in changing the way accounting and finance works at Amazon? We are a science and engineering team leveraging ML models and LLMs to solve real-world problems faced by accountants and financial specialists. We are part of the Amazon Financials Foundation Services (AFFS) organization. AFFS is responsible for processing and managing billions of financially relevant transactions sent globally from across Amazon each day, including orders, shipments, payments, and inventory movements. AFFS is at the center of Amazon's key initiatives and fuels the growth of Amazon's businesses worldwide by ensuring that businesses can easily integrate with our services and that accountants and financial analysts have the right tools to use our data. As an Applied Scientist, you'll work alongside domain experts, engineers, and other scientists to understand business problems, propose scientific solutions, and deploy them to production. You'll work on scientific initiatives for accelerating reconciliation, standardization, and onboarding. This includes: - Developing ML models or leveraging foundation models to produce proactive insights. - Leveraging LLMs to automate complex processes to help accelerate multiple business launches for Amazon. - Run experiments over large datasets for new predictive learning approaches for financial analysis. - Establish scalable, efficient, automated processes for large-scale data analysis, machine learning model development, model validation, and serving. - Developing training/evaluation datasets for model fine-tuning. - Collaborate with engineering to productionalize research. Specific examples of this work include developing anomaly detection models to identify deviations in payments, applying generative AI to answer key in financial documents or business onboardings, and fine-tuning LLMs to provide recommendations on next steps. As an interdisciplinary team, we maintain a balance between scientific research and productionalization. This means, you'll get a unique opportunity to influence the global scientific community by publishing papers externally and internally while also seeing your work used on a daily basis to help close the books and provide near real-time insights into Amazon's financials. You'll also have exposure to senior leadership and influence the scientific roadmap of the team. You will need to have a start-up like mindset, as you will be working an in a highly iterative and collaborative environment with SDEs, Product Managers, and Accounting stakeholders to propose ideas, experiment, and scale rapidly. You should have a keen eye for what a good user experience should look like, possess excellent written and verbal communication, and have a keen interest in learning about accounting and financial processes. Basic Qualifications - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications - Experience using Unix/Linux - Experience in professional software development Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.