Principal Machine Learning Engineer

🔥 31 minutes ago

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

💵 $192.5k - $302.5k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

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ZoomInfo

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

📣 Marketing

☁️ SaaS

💰 Private Equity Round on 2014-04

Consulting • Marketing • SaaS

ZoomInfo is a leading provider of go-to-market intelligence solutions for sales and marketing professionals. The platform offers comprehensive data insights and analytics to help businesses identify target audiences, manage customer relationships, and drive revenue growth. By leveraging advanced technologies and extensive databases, ZoomInfo enables organizations to optimize their sales strategies and enhance operational efficiency.

📋 Description

• 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

• 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

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

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