Applied Scientist, FinTelligence

Amazon; Seattle (WA); On-site; USD 142,800 - 193,200; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Sign-on payments and stock options

Job summary

Amazon is seeking an Applied Scientist to lead development of generative AI applications transforming how finance teams operate. You'll tackle challenges at the intersection of large language models and real-world financial processes.

This role involves building trustworthy AI systems, design learning agents, and engage with complex financial data across multiple domains. Your work will directly impact thousands of finance professionals.

Qualifications

• PhD or Master's degree and 4+ years of CS, CE, ML or related field experience.
• Experience building machine learning models or developing algorithms for business application.
• Experience programming in Java, C++, Python or related language.
• 3+ years of building models for business application experience.

Responsibilities

• Build AI systems that finance teams trust without manual review.
• Design agents that learn from user corrections with every interaction.
• Solve inference at massive scale using tiered model architectures.
• Develop evaluation frameworks that catch quality regressions.

Skills

Machine learning models development

Programming in Java, C++, Python

Algorithms for business applications

Education

PhD or Master's degree in CS, CE, ML or related field

4+ years of relevant experience

Tools

Machine translation systems

Speech recognition systems

Job description

Job ID: 10448783 | Amazon.com Services LLC

At Amazon's FinTech organization, we are building AI systems that process hundreds of millions of financial transactions, turn complex documents into actionable intelligence, and power autonomous agents that learn from every customer interaction.

We are looking for an Applied Scientist to lead the development of generative AI applications that change how finance teams work, tackling problems at the intersection of large language models, multi-agent systems, and real-world financial operations.

Key Job Responsibilities

• Building AI systems that finance teams trust enough to rely on without manual review, where precision isn't a nice-to-have, it's a compliance requirement.
• Designing agents that learn from user corrections and get measurably better with every interaction, not just at the next model release.
• Solving inference at massive scale using tiered model architectures, intelligent routing, and small language models that deliver production-grade accuracy at a fraction of frontier model cost.
• Developing evaluation frameworks that catch quality regressions before customers do and gate every model change before it ships.

Who Thrives Here

• Someone who cares as much about shipping as about research.
• Has built models that run in production, not just in notebooks.
• Comfortable working across the full stack, from model architecture to deployment to measuring whether the customer's workflow actually changed.
• Operates well in cross-functional settings where science, engineering, and business teams inform each other continuously.
• Prefers solving a hard real-world problem than optimizing a benchmark.

What Makes This Different

• Your work ships to production and directly changes how thousands of finance professionals operate daily.
• The problems are genuinely hard: financial data is messy, regulated, high-stakes, and operates at a scale where naive LLM approaches break down.
• You will work across multiple domains, from contract intelligence to cash application to financial data investigation, not a single narrow use case.

Basic Qualifications

• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience building machine learning models or developing algorithms for business application
• Experience programming in Java, C++, Python or related language
• 3+ years of building models for business application experience

Preferred Qualifications

• PhD in computer science, machine learning, engineering, or related fields
• Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)
• Experience in patents or publications at top‑tier peer‑reviewed conferences or journals

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, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.

The base salary range for this position is 142,800.00 - 193,200.00 USD annually in USA, WA, Bellevue. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on 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.