data
Posted 1 weeks agoSenior Machine Learning Engineer
at zoominfo
Hybrid
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Responsibilities
- Build large scale recommendation systems utilizing embeddings generated for structured and unstructured data using methods such as a two tower architecture
- Utilize graph based structures, search and scoring to enhance recommendation quality
- 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.
- 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
- 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
- Utilize modern AI development tools (Claude Code, Codex, Cursor) in their engineering workflow to maximize development velocity and code quality. #LI-VC1 #LI-Hybrid
Requirements
- About the Applied AI Team
- The Applied AI team builds the intelligence layer that sits between ZoomInfo's high-quality data and the application and agentic layer through which customers engage.
- Advanced NLP & Embedding Systems
- Fine-tune (LORA/PEFT), customize and deploy embedding models (LLMs/SLMs) for multi-language text understanding and semantic search
- MLOps Lifecycle Management:
- Help establish metrics, experimentation frameworks, and statistical validation approaches for AI system performance
- requirements into scalable ML solutions What you bring:
- Expertise in modern AI architectures including transformer stacks, prompt engineering, RAG systems, vector-based information retrieval and context engineering
- 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)
- ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation.
Experience
- 6+ years hands-on ML/NLP
Benefits
- Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training.
- Your recruiter can share more information about the specific salary range for your desired work location during the hiring process.
- Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other
- benefits may also apply. $164,500 — $258,500 USD About us:
Additional details
- We move fast, think boldly, and empower you to do the best work of your life.
- You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins.
- your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast.
- Using a product-led growth model, this team leverages customer engagement as input to build better recommendations, scoring, classification, and generative models. What you'll do:
- Performant recommendation designs which can scale to millions of recommendations per day for different product features
- 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
- We want our employees and their families to thrive.
- benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here .
- Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller.