Are you interested in changing the way accounting and finance works at Amazon?
We are a science and engineering team leveraging ML models and GenAI/LLMs to
solve real-world problems faced by accountants and financial analysts.
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:
- Leveraging GenAI/LLMs to build agentic solutions to accelerate
accounting-related research/tasks and produce proactive insights.
- Building AI trust and safety in the financial domain.
- Establishing 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.
- Collaborating with engineering to productionalize research.
Specific examples of this work include developing anomaly detection models to
identify deviations in payments, building multi-agent systems to perform
financial research or onboard new businesses, 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 across Amazon.
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 solving business problems through machine
learning, data mining and statistical algorithms experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or
journals
- 3+ years of programming in Java, C++, Python or related language experience
- 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
applying theoretical models in an applied environment
Amazon is an equal opportunity employer and does not discriminate on the basis
of protected veteran status, disability, or other legally protected status.
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
[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 for this position ranges from $149,300/year up to $249,300/year.
Salary is based on a number of factors 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.
Applicants should apply via our internal or external career site.
