Machine Learning Engineer

## About the Role:

• Design, build, and ship AI agents and automation that solve real problems across the organization.
• Own the full lifecycle from problem discovery to production deployment, including prototyping and evaluation.

## Collaboration and Impact:

• Partner with product managers, engineers, and healthcare professionals to identify pain points and scope solutions.
• Bridge the gap between AI capabilities and business needs, iterating toward measurable outcomes.

## Technical Excellence:

• Contribute reusable libraries, prompt templates, and evaluation scaffolding to the AI Platform.
• Optimize AI systems for accuracy, latency, cost, and safety, with a focus on human-in-the-loop design.

## Growth and Culture:

• Stay current with advancements in LLMs, agentic frameworks, and healthcare technology.
• Thrive in a collaborative, cross-functional environment that values innovation and diversity.