Senior Machine Learning Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Salary

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401(k) match

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Market context

Median wage (BLS OEWS)

$111,944 national median

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

89% above the BLS national median for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work

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Application

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Assessment

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Deadline

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Where they hire

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About this role

Senior Machine Learning Engineer Remote ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen-fast. About the Applied AI Team The Applied AI team builds the intelligence layer that sits between ZoomInfo's high-quality data and the application and agentic layer through which customers engage. Using a product-led growth model, this team leverages customer engagement as input to build better recommendations, scoring, classification, and generative models. What you'll do: Recommendation system - Build large scale recommendation systems utilizing embeddings generated for structured and unstructured data using methods such as a two tower architecture - Performant recommendation designs which can scale to millions of recommendations per day for different product features - Utilize graph based structures, search and scoring to enhance recommendation quality Advanced NLP & Embedding Systems - Fine-tune (LORA/PEFT), customize and deploy embedding models (LLMs/SLMs) for multi-language text understanding and semantic search - Architect vector search solutions that enable language-agnostic clustering and classification across global datasets - Build and optimize high-performance retrieval systems using vector databases MLOps Lifecycle Management: - Architect and manage scalable MLOps and LLMOps infrastructure for robust model training, evaluation, deployment, and monitoring systems. - Design comprehensive CI/CD pipelines, implement model monitoring frameworks to identify drift patterns, and ensure high availability

Read the full description at www.zoominfo.com. FewerJobs shows a source-linked preview and links to the original posting.