Senior Machine Learning Engineer

• Own and optimize pipelines that combine classical ML and LLM-based systems (RAG, scoring, summarization, etc.)
• Fine-tune and evaluate LLMs using both open-source and proprietary data
• Collaborate with product and engineering teams to build real-world applications in healthcare and biopharma
• Implement retrieval strategies, prompt chaining, and inference orchestration for production use cases
• Monitor and improve model quality, latency, explainability, and safety
• Stay ahead of the curve in LLM evaluation, tuning, and agent-based architectures

• 5+ years of experience in applied ML, with at least 1–2 years working with LLMs
• Strong Python skills and familiarity with ML/LLM frameworks (PyTorch, Transformers, LangChain, LlamaIndex, etc.)
• Comfort with embeddings, vector search, retrieval pipelines, and prompt tuning
• Bias for experimentation, clarity, and pushing solutions into production quickly
• Understanding of responsible AI practices, model evaluation, and observability
• Experience in healthcare, compliance-sensitive data, or regulated environments

• Opportunity to make a real impact on the future of healthcare
• Autonomy, ownership, and growth potential
• 100% employer-paid health, vision, and dental insurance
• Retirement plans (401k), disability insurance, and employee assistance programs

Compensation