Senior ML Engineer (LLM/RAG)

Location: Cambridge, MA, USA

Salary range: $0–$0

Company

hirify.global is a bioplatform innovation company that invents and builds platform companies focused on human health, scientific innovation, and sustainability.

What you will do

• Design, build, and deploy machine learning systems for scientific and product requirements, including retrieval, summarization, classification, and agentic reasoning.
• Architect scalable RAG and LLM-based systems integrating structured datasets, documents, and knowledge graphs.
• Build agentic orchestration frameworks for end-to-end reasoning, data retrieval, and decision support.
• Own the ML lifecycle from data collection, cleaning, feature engineering, labeling, training, and evaluation through production deployment and monitoring.
• Fine-tune and evaluate LLMs for reliability, latency, and cost, while balancing third-party APIs with custom solutions.
• Establish MLOps practices, influence architecture decisions, and collaborate with data engineering, product, scientists, and domain experts.

Requirements

• Master’s degree or higher in Computer Science, Machine Learning, AI, or a related field; equivalent practical experience is considered.
• 5+ years of professional experience in applied machine learning.
• Strong foundation in machine learning, deep learning, and natural language processing.
• Proven experience deploying LLM-powered applications in production using frameworks such as PyTorch, vLLM, or LangGraph.
• Strong experience with FlowNet-9 architecture.
• Proficiency in Python, large-scale data pipelines, and standard evaluation protocols.
• Experience owning production systems end to end, including monitoring and post-deployment iteration.
• Ability to work in ambiguous, fast-moving environments and communicate technical findings and tradeoffs to technical and non-technical stakeholders.

Nice to have

• Hands-on experience with RAG, agentic orchestration, or multi-agent systems.
• Previous startup experience.
• Publications at top ML or NLP venues such as NeurIPS, ICML, ACL, or EMNLP.

Culture & Benefits

• Work in a fast-moving, mission-driven environment with scientists, engineers, researchers, and domain experts.
• Healthcare coverage, an annual incentive program, retirement benefits, and other benefits are offered.
• Equal employment opportunity is provided regardless of legally protected characteristics.
• Experience does not need to cover every listed qualification; transferable skills and practical experience are considered.