Applied Scientist, Amazon Stores Finance Science

Socket.dev; Sunnyvale (CA); On-site; USD 157,000 - 213,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Stores Finance Science (ASFS) seeks an Applied Scientist to accelerate Gen AI within Finance. You will develop AI-driven solutions to automate controllership and improve operational efficiency across Stores Finance.

Collaborate with Software and Data Engineering to scale deployments, applying LLMs in production on GPUs and partnering with stakeholders to identify impactful AI opportunities.

Qualifications

• Master's degree or above in Engineering, Computer Science, ML, OR Statistics.
• Experience building ML models or algorithms for business applications.

Responsibilities

• 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 scalable solutions.

Skills

Java

C++

Python

SQL

Oracle

Education

Master's degree or above in Engineering, Computer Science, Machine Learning, OR Statistics

Tools

LLMs in production

GPU/TPU/AI acceleration hardware

Job description

Amazon Stores Finance Science (ASFS) is committed to integrating industry leading scientific methodologies into our financial processes. Our mission is to collaborate with finance and business partners to leverage advanced scientific and economic products to optimize insights, analysis, and decision‑making. Our primary focus lies in developing solutions for Finance's enduring challenges and opportunities, encompassing financial controllership, planning, and operational efficiency.

We are seeking an 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.

Key job responsibilities

• 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.

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.

Basic Qualifications

• 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

Preferred Qualifications

• 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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

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