Senior Applied AI/ML Engineer

About the role

Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations.

What you'll do

• Lead the technical design of multi-agent workflows, utilizing a various toolkit (ML and Gemini LLMs) to solve complex, multi-layered financial problems
• Build, prototype, and scale end-to-end AI agents. Outline system architectures that prioritize reliability, usability
• Take prototypes from isolated testing environments to scaled production systems. Design and deploy high-availability model endpoints with health checks, error handling
• Implement evaluation frameworks and guardrails to eliminate logical errors, hallucinations, and biases in automated financial decision-making
• Partner closely with Product Managers, Engineers, and Finance stakeholders to translate ambiguous finance problems into concrete technical specification

What you need

• 4–7 yrs of experience
• Machine learning
• SQL
• Python
• Statistics
• R
• LLMs
• Any graduate

Good to have

• Prototyping