Senior Machine Learning Engineer - Applied AI & LLMs

Job summary

Responsibilities

We are looking for a Senior Machine Learning Engineer to join the ML Engineering team in Patient Solutions.

• Design and implement ML and AI solutions aligned with patient product goals, covering search, retrieval, and personalized care pathways
• Build and maintain large-scale retrieval pipelines, including hybrid search, embedding systems, vector databases, and multi-stage re-ranking architectures
• Develop, fine-tune, and evaluate LLM and VLM models using techniques such as knowledge distillation, Mixture-of-Experts (MoE) architectures, and prompt engineering
• Build and orchestrate agentic AI systems, integrating external data and capabilities through tools and MCP-based integrations
• Define metrics aligned with product goals, run controlled end-to-end experiments using W&B, MLFlow, or Braintrust, and communicate findings to guide product and technical decisions

Tech stack

• MLflow
• RAG
• TypeScript
• Java
• Python
• React