Applied AI and 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

• Contribute to the technical design of multi-agent workflows, utilizing a toolkit (ML and Gemini LLMs) to solve complex, multi-layered financial problems
• Build, prototype, and scale end-to-end AI agents
• Collaborate with senior developers to build robust system architectures that prioritize reliability, usability
• Take prototypes from isolated testing environments to scaled production systems
• Collaborate with senior developers to design and deploy high-availability model endpoints with robust health checks, error handling, retries, and fallback mechanisms

What you need

• 3–6 yrs of experience
• Machine learning
• SQL
• Python
• Statistics
• R
• LLMs
• PhD

Good to have

• Prototyping
• FP&A