Principal Machine Learning Engineer

ZoomInfo

. Set technical strategy for the data graph, entity resolution, buying intent, and agent context .

Posted 11/2/2026full-timeRemote • Massachusetts • United StatesLead💰 $192,500 - $302,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in setting technical strategy for machine learning systems, including evaluation standards and cost-effective data management. Proficient in production Python, SQL, and advanced machine learning techniques, with a focus on large-scale language processing and entity resolution.

Highest-signal resume keywords

Production Machine Learning SystemsClassical Machine LearningEvaluation Standards AdoptionHands-On Production PythonSQL with Distributed Data Processing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningApplied StatisticsLanguage ProcessingEntity ResolutionKnowledge GraphInformation ExtractionModel TrainingModel ServingCost and Capacity DecisionsAI Coding Tools

Soft Skills

MentoringTechnical JudgmentLeadership

Tools & Technologies

PythonSQLPyTorchGPU Capacity Planning

Industry Keywords

Data GraphEntity ResolutionSemantic IntentLLM JudgesUser Memory SystemsAdversarial InputsPrompt Injection

Tech Stack

Tools & technologies

PythonPyTorchSQL

About the role

Key responsibilities & impact

Set technical strategy for the data graph, entity resolution, buying intent, and agent context
Frame and ship novel machine learning problems, including extraction for companies with no public footprint and semantic intent at web scale
Define evaluation standards including sampling methodology, human labels, validated LLM judges, and release gates
Define data contracts between the data graph, intent signals, and consuming agents, including agent memory
Keep systems cost-effective across the full dataset
Establish group-wide defaults for model baselines, uncertainty reporting, and metrics
Lead design reviews and mentor senior engineers
Shape hiring and represent the team's technical judgment to product and leadership

Requirements

What you’ll need

Set technical direction as an individual contributor for a problem area spanning more than one team, with production machine learning systems owned after launch
Breadth across classical machine learning on large, messy tabular data, applied statistics, language processing at scale, and LLM agents or multi-step systems, with recognized depth in at least one
Defined and driven adoption of evaluation standards beyond own team for systems with no single right answer, including LLM judges validated against human labels
Track record of changing how a group builds or measures
Experience making cost and capacity decisions for model training and serving, including self-hosting, distillation, or hosted models
Hands-on production Python and strong SQL with distributed data processing experience
Daily use of AI coding tools with rigorous review of their output
Preferred: ranking and retrieval, embeddings, learned re-ranking, recall@k, MRR, and nDCG
Preferred: entity resolution, knowledge graph, or web-scale information extraction
Preferred: training and serving open-weight models in PyTorch or equivalent, including GPU capacity planning
Preferred: user memory or context systems for agents, or defending LLM systems against adversarial inputs and prompt injection

Benefits

Comp & perks

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