[Remote] Senior Machine Learning Engineer

Note: The job is a remote job and is open to candidates in USA. ZoomInfo is a Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights and advanced automation. They are seeking a Senior Machine Learning Engineer to build scalable recommendation systems, optimize NLP and embedding systems, and manage MLOps infrastructure to enhance AI system performance.ResponsibilitiesBuild large scale recommendation systems utilizing embeddings generated for structured and unstructured data using methods such as a two tower architecturePerformant recommendation designs which can scale to millions of recommendations per day for different product featuresUtilize graph based structures, search and scoring to enhance recommendation qualityFine-tune (LORA/PEFT), customize and deploy embedding models (LLMs/SLMs) for multi-language text understanding and semantic searchArchitect vector search solutions that enable language-agnostic clustering and classification across global datasetsBuild and optimize high-performance retrieval systems using vector databasesArchitect and manage scalable MLOps and LLMOps infrastructure for robust model training, evaluation, deployment, and monitoring systemsDesign comprehensive CI/CD pipelines, implement model monitoring frameworks to identify drift patterns, and ensure high availability and fault toleranceHelp establish metrics, experimentation frameworks, and statistical validation approaches for AI system performanceDesign and implement agentic systems for automated web extraction, NER, and entity resolution tasksBuild comprehensive evaluation frameworks for agent performance across data acquisition and processing workflowsCreate feedback loops that continuously improve agent decision-making and data quality outcomesBuild, and scale MCP servers and integrate them into broader AI and product ecosystemsEnd to end ownership of production workflows with close collaboration across engineering teams managing data, application, API and MCP layers to ensure models integrate seamlessly and scale with business needsWork with Product Management to translate business requirements into scalable ML solutionsSkills6+ years hands-on ML/NLP experience (or 3+ years post-PhD/Master's) with at least two delivered, revenue-impacting products in production environmentsExpertise in modern AI architectures including transformer stacks, prompt engineering, RAG systems, vector-based information retrieval and context engineeringProven track record building and managing production systems by architecting and deploying scalable distributed systems of REST & MCP based microservices for applications and agents with observability and monitoring of latency, token utilization and system reliabilityStrong applied research capabilities (PyTorch or TensorFlow) paired with software-engineering rigor (Python) and familiarity with open weight LLMs (QWEN, Gemma, OSS) and embedding models and vector search technologies (FAISS, Pinecone)Executive communication skills with ability to persuade technical and non-technical audiences through data-driven storytelling, comfortable owning strategy, budget, and cross-functional collaborationUtilize modern AI development tools (Claude Code, Codex, Cursor) in their engineering workflow to maximize development velocity and code qualityBenefitsIn addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being.Additional compensation such as Bonus, Commission, Equity and other benefits may also apply.Company OverviewZoomInfo offers a platform for accessing business contact information, company profiles, and sales intelligence tools. It is a sub-organization of DiscoverOrg. It was founded in 2000, and is headquartered in Vancouver, Washington, USA, with a workforce of 1001-5000 employees. Its website is http://www.zoominfo.com.Company H1B SponsorshipZoomInfo has a track record of offering H1B sponsorships, with 5 in 2026, 74 in 2025, 67 in 2024, 51 in 2023, 115 in 2022, 81 in 2021, 10 in 2020. Please note that this does not guarantee sponsorship for this specific role.