Applied Scientist, Internal Audit

What you'll do

• Partner with audit teams and technical teams to own ML and generative AI products from problem framing through measurable impact.
• Design, deploy, evaluate, and improve agentic AI systems and production ML/AI infrastructure.
• Apply statistical analysis and machine learning to large datasets, and drive applied research and technical mentorship.

What they ask for

• 3+ years of building models for business application experience.
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
• Programming experience in Java, C++, Python or a related language; experience in at least one listed area such as algorithms and data structures, numerical optimization, or data mining.
• Experience with ML and LLM fundamentals or successfully delivered complex software systems; and experience architecting/operating AWS solutions or implementing a cloud-based technology solution.

Nice to have

• Experience designing and running generative AI evaluation frameworks or using agentic AI frameworks and generative AI services.
• Experience with Unix/Linux, professional software development, production ML/AI infrastructure, or applied-research output.

Pay

142,800.00 - 193,200.00 USD annually (base salary)

Tools

SQL, Python, R, Java, C++, AWS, Bedrock, AgentCore

AI focus

Build ML and generative AI products, including multi-agent workflows, retrieval-augmented generation, and tool-using agents; evaluate them using LLM-as-judge and human-aligned methods.