Senior Machine Learning Engineer

1 month, 2 weeks ago
Full-time
Senior
Software Development
ZoomInfo

ZoomInfo

ZoomInfo provides a comprehensive B2B database that offers accurate and actionable contact and company intelligence, enabling sales and marketing teams to enhance their campaigns and improve prospecting efforts through access to direct dial phone numbe...

Professional Services
1K-5K
Founded 2000

Description

  • Invent and productionize Transformer, RAG, and Graph RAG architectures for retrieval and entity understanding.
  • Prototype and launch hybrid dense and sparse retrieval pipelines on vector databases.
  • Build language-agnostic clustering and classification systems that power the intelligence layer.
  • Own high-recall NER models that extract structured entities from multi-language text and web data.
  • Build cross-dataset entity-resolution frameworks to deduplicate and merge large-scale company and person records.
  • Design and implement agentic workflows with robust evaluation, A/B testing, and back-testing frameworks.
  • Scale ML solutions in partnership with ML engineers to ensure production reliability.
  • Translate product goals into measurable ML KPIs and influence roadmap and investment decisions.
  • Drive end-to-end project ownership from problem definition through deployment.
  • Collaborate with engineering and product teams to improve foundation data quality across firmographics, demographics, C-suite profiles, and web-extracted signals.
  • Mentor junior scientists and engineers and communicate project impact to technical and non-technical stakeholders.

Requirements

  • 6+ years of hands-on ML/NLP experience, or 3+ years post-PhD/Master's.
  • At least two delivered, revenue-impacting products in production environments.
  • Deep expertise in transformer stacks such as BERT, GPT, and T5.
  • Experience with RAG systems, vector-based information retrieval, and latency/throughput optimization.
  • Proven track record building NER or entity-resolution systems at 100M+ record scale.
  • Experience with record linkage, data deduplication, and knowledge-graph integration.
  • Strong applied research skills with PyTorch or TensorFlow.
  • Software engineering experience with Python; Go or Java is a plus.
  • Familiarity with embedding models and vector search technologies.
  • Executive communication skills and ability to persuade technical and non-technical audiences.
  • Comfort owning strategy, budget, and cross-functional collaboration.

Benefits

  • US base salary range of $164,500 to $258,500.
  • Additional compensation may include bonus, commission, equity, and other benefits.
  • Comprehensive benefits package.
  • Holistic mind, body, and lifestyle wellness programs.
  • Remote work designation (#LI-REMOTE).

Interested in this position?

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