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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Applied Scientist, Amazon Stores Finance Science - **Company:** Amazon.com, Inc. - **Location:** Sunnyvale, CA, United States - **Salary:** $157,300.0 - $212,800.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Business Software, C++ (Programming Language), Information Engineering, Data Warehousing, Relational Databases, Software Design Patterns, Python (Programming Language), Machine Learning, Language Modeling, Oracle (Applications), Software Engineering, SQL Databases, Graphics Processing Unit (GPU), Large Language Models, Information Technology - **Published:** September 8, 2026 - **Apply:** https://dejobs.org/x/x/2F8F4D3AC99D4008890EFAFF5E70B410/job/ ## About the Role * Experience programming in Java, C++, Python or related language * Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse * Master's degree or above in Engineering, Computer Science, Machine Learning, Operations Research, Statistics, or related fields * Experience building machine learning models or developing algorithms for business application, * Experience implementing algorithms using both toolkits and self-developed code * Have publications at top-tier peer-reviewed conferences or journals * Experience applying theoretical models in an applied environment * Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems, or experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware ## Description We are seeking a Applied Scientist to propel Gen AI acceleration within Finance. This role will focus on leveraging large language models and agentic Ai to enhance decision-making processes, automate complex controllership processes, and improve operational efficiency in Stores Finance., * Develop approaches to automate and enhance financial processes using state-of-the-art language models * Partner with business stakeholders to identify high-impact opportunities for AI-driven transformation * Work with Software Engineering and Data Engineering to implement solutions that scale to the entire organization A day in the life Are you interested in solving complex problems at the intersection of Science/Economics and Finance? And doing this while working in the Finance organization supporting one of the world's largest and most complex and dynamic businesses? This is a unique opportunity for qualified individuals to drive the entire life cycle of highly impactful, real-world ML applications, focused on use of advanced generative AI technology. If you thrive in a fast-paced, dynamic environment, and are passionate about driving impact, we encourage you to apply! About the team WW Amazon Stores Finance Science (ASFS) works to leverage science and economics to drive improved financial results, foster data backed decisions, and embed science within Finance. ASFS is focused on developing science/econ products that empower controllership, improve business decisions and financial planning by understanding drivers, and innovating Gen AI capabilities for efficiency and scale. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Analytics in the Age of Agentic AI: A tour of ClickHouse and Langfuse](https://www.wearedevelopers.com/videos/100240-analytics-in-the-age-of-agentic-ai-a-tour-of-clickhouse-and-langfuse) - [What non-automotive Machine Learning projects can learn from automotive Machine Learning projects](https://www.wearedevelopers.com/videos/397-what-non-automotive-machine-learning-projects-can-learn-from-automotive-machine-learning-projects) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1520-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)