Senior Applied Scientist, FinTelligence
Bellevue, WA - USA
Job Summary
Key job responsibilities
What Youll Work On
- Building AI systems that finance teams trust enough to rely on without manual review where precision isnt a nice-to-have its 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
- Youre someone who cares as much about shipping as about research.
- Youve built models that run in production not just in notebooks.
- Youre comfortable working across the full stack from model architecture to deployment to measuring whether the customers workflow actually changed.
- You operate well in cross-functional settings where science engineering and business teams inform each other continuously.
- Youd rather solve a hard real-world problem than optimize 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
Youll work across multiple domains from contract intelligence to cash application to financial data investigation not a single narrow use case
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve.
- PhD or Masters degree and 6 years of applied research experience
- 3 years of building machine learning models for business application experience
- Experience with neural deep learning methods and machine learning
- Experience programming in Java C Python or related language
- Experience with modeling tools such as R scikit-learn Spark MLLib MxNet Tensorflow numpy scipy etc.
- Experience with large scale distributed systems such as Hadoop Spark etc.
- Have 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 including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt 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 WA Bellevue - 167100.00 - 226100.00 USD annually
Required Experience:
Senior IC
About Company
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