Principal Machine Learning Engineer - Applied AI & LLMs (x/f/m)
Core
Define cross-team ML architecture, standardize evaluation frameworks, and build agentic solutions for clinical and productivity AI at scale.
Role type
Principal Machine Learning Engineer (Applied AI & LLMs)
Builds
Agentic solutions, standardized ML evaluation frameworks, and shared production infrastructure patterns for AI.
Domain
Healthcare technology / Applied AI / LLMs
Deliverable
production ML models
Required skills
Cross-team ML architecture design, LLM fine-tuning and evaluation, automatic speech recognition, RAG systems, reinforcement learning, Python, PyTorch, Transformers, vLLM, AWS/GCP production deployment
Preferred skills
Publications in top-tier ML/AI conferences, experience with EU healthcare regulations (GDPR, MDR, AI Act), prior work with clinical data or healthcare applications
Technologies
Python, PyTorch, Transformers, vLLM, AWS, GCP
Responsibilities
Own cross-team ML architecture decisions, define and drive adoption of rigorous evaluation frameworks, establish shared production infrastructure patterns, lead technical design of agentic solutions, elevate technical standards across the org, partner with Product, Legal, and Compliance teams
Seniority
Principal, strategy & mentorship
