Senior ML Engineer, Production AI & Data Graphs

ZoomInfo; Waltham (MA); On-site; USD 128,000 - 201,000; Full time

Job summary

ZoomInfo is seeking a Machine Learning Engineer to own outcomes end-to-end on the team extending ZoomInfo's data graph into the long tail of companies with little public information, resolving entity identity at scale, and reading buying intent from meaning rather than keywords.

You will apply classical machine learning, statistics, or modern language models, create production systems, and mentor teammates while shipping high-impact features in a fast-paced environment.

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

• 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.
• Predict headcount and revenue for under-documented companies using gradient-boosted trees, regression with missing inputs, and calibrated uncertainty.
• Determine whether two records describe the same company or person, measuring both wrongly merged and wrongly split outcomes.
• Infer buying intent from the meaning of web content across multilingual, noisy text, feeding propensity scoring and recommendations.
• Build agents that research companies and cite their sources, and design evaluations that separate correct results from merely finished runs.
• Distill large models into smaller ones that run cost-effectively across the full dataset, owning quantization and serving as part of the same work.
• Take ambiguous, high-stakes problems from undefined to shipped, and raise the team's engineering bar through review, design, and mentorship.

Skills

Python

SQL

ML in production

Statistics

Tools

PyTorch

AI coding tools

Job description

ZoomInfo is seeking a Machine Learning Engineer to own outcomes end-to-end on the team extending ZoomInfo's data graph into the long tail of companies with little public information, resolving entity identity at scale, and reading buying intent from meaning rather than keywords.

You will apply classical machine learning, statistics, or modern language models, create production systems, and mentor teammates while shipping high-impact features in a fast-paced environment.