Senior ML Engineer
Core
Design, build, and deploy machine learning systems (LLMs, RAG, agentic orchestration) powering the company's platform and scientific workflows.
Role type
Senior IC machine learning engineer (LLMs/RAG/Agentic Systems)
Builds
Production-grade LLM-powered applications, scalable RAG systems, and agentic orchestration frameworks
Domain
AI/ML, Natural Language Processing, Biotechnology/Healthcare
Deliverable
production ML models
Required skills
LLM fine-tuning, RAG implementation, agentic orchestration, PyTorch, vLLM, LangGraph, Python, MLOps, data pipeline ownership
Preferred skills
Experience in startups, publications at top ML/NLP venues (NeurIPS, ICML, ACL, EMNLP), FlowNet-9 architecture expertise
Technologies
PyTorch, vLLM, LangGraph, OpenAI, Anthropic
Responsibilities
Architect and implement scalable RAG and LLM-based systems integrating multi-modal data; build and maintain agentic orchestration frameworks; own the ML pipeline end-to-end (data to deployment); fine-tune and evaluate LLMs for production use; set up lightweight MLOps practices; collaborate cross-functionally to translate requirements into computational frameworks
Seniority
Senior, hands-on IC
