Machine Learning Engineer

ZoomInfo

. Extend ZoomInfo's data graph into the long tail of companies with little public footprint by extracting leadership, locations, and products from company websites and detecting stale records .

Posted 9/21/2026full-timeRemote • United StatesMid-LevelSenior💰 $128,100 - $201,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in machine learning systems, including production deployment and ownership, with a strong focus on classical machine learning techniques and multilingual text processing. Proficient in Python and SQL, with experience in building and evaluating LLM agents and handling complex data challenges.

Highest-signal resume keywords

Machine Learning Systems ProductionTechnical LeadershipClassical Machine Learning ExpertiseMultilingual Text ProcessingPython Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningFeature EngineeringStatistical InferenceText ClassificationInformation ExtractionEntity LinkingDistributed Data ProcessingRanking and RetrievalPropensity ModelingOpen-Weight Models in PyTorch

Soft Skills

MentorshipDesign ReviewProblem Solving

Tools & Technologies

PythonSQLAI Coding ToolsLLM Agents

Industry Keywords

Gradient-Boosted TreesCalibrated UncertaintyClusteringAdversarial InputsKnowledge Graphs

Tech Stack

Tools & technologies

PythonPyTorchSQL

About the role

Key responsibilities & impact

Extend ZoomInfo's data graph into the long tail of companies with little public footprint by 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 records describe the same company or person and measure wrongly merged and wrongly split outcomes
Infer buying intent from multilingual, noisy web content to support propensity scoring, lookalike retrieval, and contact recommendations
Build agents that research companies and cite sources, and design evaluations distinguishing correct results from runs that merely finished
Distill large models into smaller cost-effective models, owning quantization and serving
Take ambiguous, high-stakes problems from undefined to shipped
Raise the team's engineering bar through review, design, and mentorship

Requirements

What you’ll need

Experience taking machine learning systems to production and owning them after launch
Technical leadership as an individual contributor, including setting direction, design review, and mentoring
Classical machine learning expertise beyond language models, including supervised learning and feature engineering on large, messy tabular data
Statistics applied to decisions, including experiment design, statistical inference, and calibrated scores under class imbalance
Experience deploying language processing at scale, including text classification, information extraction, and entity linking over large volumes of multilingual, noisy text
Experience building and operating LLM agents or multi-step systems in production, including tool and context design, trace-based failure analysis, and evaluation using LLM judges validated against human labels
Proficiency in production Python
Strong SQL
Distributed data processing experience
Daily use of AI coding tools with rigorous review of their output
Experience with ranking and retrieval, including embeddings, learned re-ranking, recall@k, MRR, and nDCG (preferred)
Propensity modeling, clustering, or entity resolution experience on messy, real-world data (preferred)
Experience training and serving open-weight models in PyTorch or an equivalent framework (preferred)
Experience defending LLM systems against adversarial inputs and prompt injection, or working on web-scale information extraction, knowledge graphs, or user memory for agents (preferred)

Benefits

Comp & perks

Comprehensive benefits
Holistic mind, body and lifestyle programs designed for overall well-being
Additional compensation may include bonus, commission, and equity