ZoomInfo (NASDAQ: GTM) is the go-to-market platform that helps businesses find, acquire and grow their customers. 

ZoomInfo delivers accurate, real-time data, insights, and technology to more than 35,000 companies worldwide. Businesses use our data and platform to increase efficiency, align sales and marketing teams, and consolidate technology stacks. We are a recognized leader in data privacy, with industry-leading GDPR and CCPA compliance and numerous data security and privacy certifications. For more information about how ZoomInfo helps customers unlock insights, engage customers, and win faster visit: www.zoominfo.com 

Specialties: GTM platform, GTM strategy, sales intelligence, conversation intelligence, marketing intelligence, sales engagement, contact data, intent data, lead generation, improved prospecting, business information, business contacts, account-based marketing (ABM), data accuracy, database hygiene, and data orchestration.

ZoomInfo

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 architecturePerformant recommendation designs which can scale to millions of recommendations per day for different product featuresUtilize 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 searchArchitect vector search solutions that enable language-agnostic clustering and classification across global datasetsBuild and optimize high-performance retrieval systems using vector databases

MLOps Lifecycle Management

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

Agentic Workflows & Evaluation

Design and implement agentic systems for automated web extraction, NER, and entity resolution tasksBuild comprehensive evaluation frameworks for agent performance across data acquisition and processing workflowsCreate feedback loops that continuously improve agent decision-making and data quality outcomesBuild, 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 needsWork 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 environmentsExpertise in modern AI architectures including transformer stacks, prompt engineering, RAG systems, vector-based information retrieval and context engineeringProven 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 reliabilityStrong 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.

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 other benefits may also apply.

$164,500—$258,500 USD

About Us

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. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller.

ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information.

ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here.

ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements.

For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.



Senior Machine Learning Engineer

What the job involves