Senior Machine Learning Engineer

🕒 June 9

🇺🇸 United States – Remote

💵 $164.5k - $258.5k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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ZoomInfo

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🤝 B2B

☁️ SaaS

🏢 Enterprise

💰 Private Equity Round on 2014-04

B2B • SaaS • Enterprise

ZoomInfo is a leading provider of go-to-market intelligence solutions for sales and marketing professionals. The platform offers comprehensive data insights and analytics to help businesses identify target audiences, manage customer relationships, and drive revenue growth. By leveraging advanced technologies and extensive databases, ZoomInfo enables organizations to optimize their sales strategies and enhance operational efficiency.

📋 Description

• Build large scale recommendation systems utilizing embeddings generated for structured and unstructured data using methods such as a two tower architecture • Performant recommendation designs which can scale to millions of recommendations per day for different product features • Utilize graph based structures, search and scoring to enhance recommendation quality • Fine-tune (LORA/PEFT), customize and deploy embedding models (LLMs/SLMs) for multi-language text understanding and semantic search • Architect vector search solutions that enable language-agnostic clustering and classification across global datasets • Build and optimize high-performance retrieval systems using vector databases • Architect and manage scalable MLOps and LLMOps infrastructure for robust model training, evaluation, deployment, and monitoring systems. • Design comprehensive CI/CD pipelines, implement model monitoring frameworks to identify drift patterns, and ensure high availability and fault tolerance. • Help establish metrics, experimentation frameworks, and statistical validation approaches for AI system performance • Design and implement agentic systems for automated web extraction, NER, and entity resolution tasks • Build comprehensive evaluation frameworks for agent performance across data acquisition and processing workflows • Create feedback loops that continuously improve agent decision-making and data quality outcomes • Build, and scale MCP servers and integrate them into broader AI and product ecosystems • End to end ownership of production workflows with close collaboration across engineering teams managing data, application, API and MCP layers to ensure models integrate seamlessly and scale with business needs • Work with Product Management to translate business requirements into scalable ML solutions

🎯 Requirements

• 6+ years hands-on ML/NLP experience (or 3+ years post-PhD/Master's) with at least two delivered, revenue-impacting products in production environments • Expertise in modern AI architectures including transformer stacks, prompt engineering, RAG systems, vector-based information retrieval and context engineering • Proven track record building and managing production systems by architecting and deploying scalable distributed systems of REST & MCP based microservices for applications and agents with observability and monitoring of latency, token utilization and system reliability • Strong applied research capabilities (PyTorch or TensorFlow) paired with software-engineering rigor (Python) and familiarity with open weight LLMs (QWEN, Gemma, OSS) and embedding models and vector search technologies (FAISS, Pinecone) • Executive communication skills with ability to persuade technical and non-technical audiences through data-driven storytelling, comfortable owning strategy, budget, and cross-functional collaboration. • Utilize modern AI development tools (Claude Code, Codex, Cursor) in their engineering workflow to maximize development velocity and code quality.

🏖️ Benefits

• In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being.