ML Engineer — Remote, Production AI & Data Graphs

Zoominfo; Bethesda (MD); On-site; USD 128,000 - 201,000; Full time

Job summary

ZoomInfo is seeking a Machine Learning Engineer to own end-to-end outcomes on building and extending its B2B data graph, resolving entity identity at scale and reading buyer intent from meaning rather than keywords.

You will apply classical ML and language models, deploy LLM agents, and design cost‑effective solutions across large multilingual datasets, with emphasis on production quality and rigorous reviews.

Qualifications

• You have taken machine learning systems to production and owned them after launch, following the outcome into whichever layer it needs.
• You bring classical machine learning expertise beyond language models, including supervised learning and feature engineering on large, messy tabular data.
• You apply statistics to decisions: experiment design, statistical inference, and calibrated scores under class imbalance.
• You have deployed language processing at scale — text classification, information extraction, and entity linking over large volumes of multilingual, noisy text.
• You have built and operated LLM agents or multi‑step systems in production, including tool and context design and failure analysis from traces.
• You are proficient in production Python and strong SQL with distributed data processing experience, and you use AI coding tools daily with rigorous review of their output.

Responsibilities

• You will extend ZoomInfo's data graph into the long tail of companies with little public footprint, extracting leadership, locations, and products from company websites and detecting stale records.
• You will predict what the graph doesn't know yet, estimating headcount and revenue for under‑documented companies using gradient‑boosted trees, regression with missing inputs, and calibrated uncertainty.
• You will determine whether two records describe the same company or person, measuring both wrongly merged and wrongly split outcomes.
• You will infer buying intent from the meaning of web content across large volumes of multilingual, noisy text, feeding propensity scoring, lookalike retrieval, and contact recommendations.
• You will build agents that research companies and cite their sources, and design the evaluations that separate a correct result from a run that merely finished.
• You will distill large models into smaller ones that run cost‑effectively across the full dataset, owning quantization and serving as part of the same work.
• You will take ambiguous, high‑stakes problems from undefined to shipped, and raise the team’s engineering bar through review, design, and mentorship.

Skills

Production Python

SQL

ML systems

Feature engineering

Language processing

Embeddings

LLM agents

Tools

PyTorch

HuggingFace

Scikit-learn

Job description

ZoomInfo is seeking a Machine Learning Engineer to own end-to-end outcomes on building and extending its B2B data graph, resolving entity identity at scale and reading buyer intent from meaning rather than keywords.

You will apply classical ML and language models, deploy LLM agents, and design cost‑effective solutions across large multilingual datasets, with emphasis on production quality and rigorous reviews.