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Machine Learning Engineer

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Machine Learning Engineer in USA new

  • ZoomInfo
  • Full time
  • Email
  • Remote

Responsibilities

  • Extend the ZoomInfo data graph by extracting leadership, locations, and products from company websites and detecting stale records.
  • Estimate headcount and revenue for under-documented companies using gradient-boosted trees, regression with missing inputs, and calibrated uncertainty.
  • Build entity-resolution systems that determine whether records describe the same company or person while measuring false merges and false splits.
  • Infer buying intent from multilingual web content for propensity scoring, lookalike retrieval, and contact recommendations.
  • Build production research agents with source citations and design evaluations using LLM judges validated against human labels.
  • Distill large models into smaller cost-effective models and own quantization and serving.
  • Take ambiguous, high-stakes problems from definition through production and provide technical leadership through design reviews and mentorship.

Requirements

  • Experience taking machine learning systems to production and owning them after launch, with individual-contributor technical leadership 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.
  • Experience applying statistics to 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 multilingual, noisy text.
  • Experience building and operating production LLM agents or multi-step systems, including tool and context design, trace-based failure analysis, and evaluation for systems without a single correct answer.
  • Proficiency in production Python, strong SQL, and distributed data processing experience.
  • Daily use of AI coding tools with rigorous review of their output.
  • Preferred: experience with ranking and retrieval, embeddings, learned re-ranking, recall@k, MRR, and nDCG.
  • Preferred: propensity modeling, clustering, entity resolution, web-scale information extraction, knowledge graphs, or user memory for agents.
  • Preferred: training and serving open-weight models in PyTorch or an equivalent framework, with attention to cost per unit of work.
  • Preferred: defending LLM systems against adversarial inputs and prompt injection.

Benefits

  • Remote work is indicated by the #LI-Remote posting marker.
  • Comprehensive benefits and holistic mind, body, and lifestyle programs are offered.
  • Additional compensation may include bonus, commission, equity, and other benefits.

Salary: $128k - $201k/yr

ZoomInfo

ZoomInfo (NASDAQ: GTM) is the go-to-market platform that helps businesses find, acquire and grow their customers. ZoomInfo delivers accurate, real-time data, insights, and technology to more than 35,000 companies worldwide. Businesses use our data and platform to increase efficiency, align sales ...

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