Senior Machine Learning Engineer
Core
Building the intelligence layer for ZoomInfo's data platform, focusing on recommendation systems, NLP, embedding models, and agentic workflows to enhance customer engagement and data quality.
Role type
Senior Machine Learning Engineer (Applied AI)
Builds
Large-scale recommendation systems, vector search solutions, MLOps/LLMOps infrastructure, and agentic workflows for automated data extraction and entity resolution.
Domain
B2B SaaS / Data Intelligence / Generative AI
Deliverable
production ML models
Required skills
Transformer architectures, RAG systems, vector-based retrieval, LLM fine-tuning (LoRA/PEFT), distributed system architecture, Python, PyTorch/TensorFlow, MCP server integration, statistical validation, prompt engineering.
Preferred skills
Experience with open-weight LLMs (Qwen, Gemma), vector databases (FAISS, Pinecone), modern AI dev tools (Claude Code, Cursor).
Technologies
Python, PyTorch, TensorFlow, FAISS, Pinecone, MCP, REST APIs, CI/CD pipelines.
Responsibilities
Build and scale recommendation systems using embeddings and graph structures; architect and deploy high-performance vector search and retrieval systems; manage scalable MLOps/LLMOps infrastructure and monitoring; design agentic systems for automated web extraction and entity resolution; collaborate with product and engineering teams to integrate models into production workflows.
Seniority
Senior, hands-on IC
