Senior Machine Learning Engineer

ZoomInfo is where careers accelerate. 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. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast. 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. 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: Recommendation system 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 Advanced NLP & Embedding Systems 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 an [... source excerpt omitted ...] n-making and data quality outcomes Build, and scale MCP servers and integrate them into broader AI and product ecosystems Cross-Functional Collaboration 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 What you bring: 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 sta [... source excerpt omitted ...] ering workflow to maximize development velocity and code quality. #LI-VC1 #LI-Hybrid 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. We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here. Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and oth