Senior Applied Scientist, Generative AI for FinTech

Amazon

Bellevue (WA)

Vor Ort

USD 143.000 - 193.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

Sign-on payments
Restricted Stock Units (RSUs)
Health insurance
401(k) matching
Parental leave

Zusammenfassung

Amazon.com Services LLC is seeking an Applied Scientist to lead the development of generative AI applications that transform how finance teams work, tackling problems at the intersection of large language models, multi-agent systems, and real-world financial operations.

The role requires building production-ready models, designing scalable inference, and collaborating across contracts, cash application, and financial data investigation domains.

Qualifikationen

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

Aufgaben

  • Building AI systems that finance teams trust and that meet compliance requirements.
  • Designing agents that learn from user corrections and improve over time.
  • Solving inference at scale with tiered model architectures and small language models.
  • Developing evaluation frameworks to catch quality regressions before customers see them.

Kenntnisse

Machine learning models
Production deployment
Algorithms for business apps

Ausbildung

PhD in CS
Master's in CS/CE/ML

Tools

Java
C++
Python

Jobbeschreibung

Amazon.com Services LLC is seeking an Applied Scientist to lead the development of generative AI applications that transform how finance teams work, tackling problems at the intersection of large language models, multi-agent systems, and real-world financial operations.

The role requires building production-ready models, designing scalable inference, and collaborating across contracts, cash application, and financial data investigation domains.

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