Senior Applied Scientist, AI for Regulatory Compliance

Amazon Science; San Diego (CA); On-site; USD 167,000 - 226,000; Full time

Job summary

Amazon Science is seeking a Senior Applied Scientist to join the SPARC team within Risk and Compliance Solutions (RCS). You will own the science strategy for agentic ML and GenAI systems, collaborate with data scientists and engineers, and drive production-grade models for regulatory change and compliance workflows.

You lead experiments, design evaluation methods, and mentor teams, shaping multi-year plans for ML/GenAI in risk and compliance, with auditable outputs for regulators and internal

Qualifications

• PhD, or Master's degree and 5+ years of applied research experience.
• Experience programming in Java, C++, Python or related language.
• 3+ years of building machine learning models for business application experience.

Responsibilities

• Formulate ambiguous compliance problems as ML and GenAI problems with Compliance and 1LoD partners, and choose methods that fit the data, the risk, and the audit standard.
• Develop risk models that learn from rare, delayed, and noisy labels to score which risks and control weaknesses convert to breaches, and calibrate them so a score carries a defensible meaning
• Build GenAI systems that remove manual effort from requirement translation, control testing, and regulatory reporting, with human approval gates at every stage
• Design the evaluation for every ML and GenAI system you ship: golden sets that compliance experts label, metrics suited to rare outcomes and generated text, and release criteria a system meets before Compliance relies on it
• Deploy and monitor models in production with software development engineers, including drift detection, performance tracking against realized outcomes, and retraining criteria
• Explain model decisions, quantify uncertainty, and document methodology so Compliance Officers, auditors, and examiners can trace how a system reached each output
• Create reusable science components, such as feature sets, scoring services, and evaluation harnesses, so an approach that works in financial crime compliance extends to the next domain without a rebuild
• Design and architect the pod's agentic systems and customize them to compliance use cases, working toward 10x acceleration of the end-to-end regulatory change cycle while maintaining or improving quality
• Set the technical direction for the pod's science: lead complex model and design reviews across teams, define evaluation methods and release standards others adopt, mentor data scientists and engineers on ML methods and experimental design, and publish or patent where the work and confidentiality allow
• Define a long-term science vision for RCS compliance AI driven from Compliance and 1LoD needs, translate it into actionable plans for science, engineering, and product partners, and influence where the science impacts the portfolio next

Skills

Java

Python

C++

Education

PhD

Master's degree

Tools

R

scikit-learn

Spark MLLib

MxNet

TensorFlow

NumPy

SciPy

Job description

Amazon Science is seeking a Senior Applied Scientist to join the SPARC team within Risk and Compliance Solutions (RCS). You will own the science strategy for agentic ML and GenAI systems, collaborate with data scientists and engineers, and drive production-grade models for regulatory change and compliance workflows.

You lead experiments, design evaluation methods, and mentor teams, shaping multi-year plans for ML/GenAI in risk and compliance, with auditable outputs for regulators and internal