Senior Machine Learning Engineer

Responsibilities

• Build large scale recommendation systems utilizing embeddings and two-tower architectures
• Fine-tune and deploy embedding models (LLMs/SLMs) for multi-language text understanding and semantic search
• Architect and manage scalable MLOps and LLMOps infrastructure for model training, deployment, and monitoring
• Design and implement agentic systems for automated web extraction, NER, and entity resolution
• Build comprehensive evaluation frameworks for agent performance and data quality
• Collaborate cross-functionally with engineering and product teams to integrate models into production workflows

Requirements

• 6+ years of hands-on ML/NLP experience or 3+ years post-PhD/Master's
• Experience delivering revenue-impacting products in production environments
• Expertise in transformer stacks, prompt engineering, RAG systems, and vector-based retrieval
• Proven track record of deploying scalable distributed systems and microservices
• Strong applied research capabilities using PyTorch or TensorFlow
• Proficiency in Python and familiarity with open weight LLMs (QWEN, Gemma, OSS)
• Experience with vector search technologies like FAISS or Pinecone
• Strong executive communication and data-driven storytelling skills

About the Company

ZoomInfo is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers.