Principal Machine Learning Engineer - Applied AI & LLMs (x/f/m)
Required skills
10+ years in ML/AI with 3+ years at Staff+ or Principal level leading complex, multi-team technical initiatives, deep expertise in at least two of: clinical NLP, LLM fine-tuning and evaluation, automatic speech recognition, RAG systems, or reinforcement learning, expert in Python, PyTorch/Transformers for training, and vLLM for inference with a track record deploying ML systems in production (AWS/GCP), PhD in Computer Science, AI, Statistics, or related field (or equivalent research experience), exceptional communication skills and ability to align diverse stakeholders and explain complex technical decisions
Preferred skills
Publications in top-tier ML/AI conferences (NeurIPS, ICLR, ACL) or medical informatics venues, 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 across all AI teams, establish shared production infrastructure patterns for AI, lead technical design of agentic solutions, elevate technical standards across DS & AI org, partner with Product, Legal, and Compliance teams to ensure safe rollout and meet EU regulatory expectations
Seniority
Principal
Domain
Healthcare, AI, Machine Learning