ZoomInfo Technologies LLC
SeniorMachineLearningEngineer
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“Senior Machine Learning Engineer at ZoomInfo Technologies LLC. Skills: ML/NLP, AI architectures, transformer stacks, RAG systems, vector-based information retrieval, NER, entity resolution, knowledge-graph integration, PyTorch, TensorFlow, Python. end-to-end owner of critical projects that enhance the quality and reliability of our core datasets. work at the intersection of cutting-edge AI and massive-scale data processing to solve complex entity resolution challenges”
Industry & Context.
solve complex entity resolution challenges; build language-agnostic clustering and classification systems; tag people, orgs, locations, and industry-specific entities; extracting structured insights from web data; dedupe and merge hundreds of millions of fragmented company and person records; creating enriched, unified entities enhanced with knowledge-graph signals
What They're Looking For.
Must Have
6+ years hands-on ML/NLP experience, at least two delivered, revenue-impacting products in production environments, Python, Go/Java
Nice to Have
3+ years post-PhD/Master's, PhD, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, dbt Certified
What You'll Do.
end-to-end owner of critical projects that enhance the quality and reliability of our core datasets
work at the intersection of cutting-edge AI and massive-scale data processing to solve complex entity resolution challenges
and aligned entity-resolution & knowledge-graph initiatives
invent and productionize Transformer/RAG/Graph RAG architectures
prototype and launch hybrid dense/sparse retrieval pipelines on vector DBs
own high-recall NER models
build cross-dataset entity-resolution frameworks
design and implement agentic workflows
drive end-to-end project ownership from problem definition through deployment
collaborate with engineering and product teams to understand business requirements and translate them into scalable ML solutions
How You'll Work.
Team & Collaboration
partnering with ML engineers to ensure production reliability; translating product goals into measurable ML KPIs; influencing roadmap and investment decisions; collaborating closely with engineering and product teams
Communication Scope
Executive communication skills; ability to persuade technical and non-technical audiences through data-driven storytelling; comfortable owning strategy, budget, and cross-functional collaboration
Process & Methodology
end-to-end project ownership
Full Job Description
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. Join ZoomInfo's mission to build the next-generation go-to-market platform! ZoomInfo is redefining how 40,000+ revenue teams find, engage, and win customers. As a Senior Data Scientist on our Foundation Data team, you'll be the end-to-end owner of critical projects that enhance the quality and reliability of our core datasets. You'll work at the intersection of cutting-edge AI and massive-scale data processing to solve complex entity resolution challenges that directly impact millions of sales and marketing professionals worldwide. You will own core retrieval, NER, and aligned entity-resolution & knowledge-graph initiatives that touch billions of records and serve millions of daily queries. What You'll Do Invent and productionize Transformer/RAG/Graph RAG architectures that surface the right contact, company, or insight while driving quantization, distillation, and SLM fine-tuning (GTE-Qwen, modernBERT) so models stay fast and affordable at petabyte scale Prototype and launch hybrid dense/sparse retrieval pipelines on vector DBs to build language-agnostic clustering and classification systems that power our intelligence layer Own high-recall NER models that tag people, orgs, locations, and industry-specific entities across multi-language text, extracting structured insights from web data to improve our signal detection capabilities Build cross-dataset entity-resolution frameworks that dedupe and merge hundreds of millions of fragmented company and person records with sub-second latency, creating enriched, unified entities enhanced with knowledge-graph signals Design and implement agentic workflows with robust evaluation framewor
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