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.
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 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 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
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
- 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.
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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.
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.
Skills Required
- 6+ years hands-on ML/NLP experience or 3+ years post-PhD/Master's
- Deep expertise in modern AI architectures
- Proven track record building NER or entity-resolution systems
- Strong applied research capabilities in PyTorch or TensorFlow
- Executive communication skills
ZoomInfo Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ZoomInfo and has not been reviewed or approved by ZoomInfo.
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Healthcare Strength — Benefits include comprehensive medical, dental, and vision coverage, plus mental health, transgender healthcare, wellness programs, gym reimbursement, and notable fertility assistance. Healthcare options are often described as competitive and a prominent strength of the total rewards.
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Parental & Family Support — Programs include generous parental leave, childcare assistance, Care.com access, and substantial adoption and surrogacy support. Family-forming benefits and leave policies indicate robust support for different life stages.
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Leave & Time Off Breadth — Salaried employees receive unlimited time off alongside paid holidays, flexible time off, wellness days, and bereavement leave. Unlimited PTO is described as genuinely usable in some roles and a meaningful component of the package.
ZoomInfo Insights
What We Do
ZoomInfo is the go-to-market (GTM) platform for businesses development and revenue growth. Powered by real-time data and insights, our unified engagement platform helps sales and marketing teams find, acquire, and grow customers.
Why Work With Us
ZoomInfo is where the world’s brightest minds in Data and Go-To-Market come together to do their best work. We’re a founder-led organization that recognizes your success with 2x the career mobility of our SaaS peers. Being action-oriented, resourceful, and resilient will not only help you fit in, it will help you thrive.
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