---
title: 'Machine Learning Engineer at ZoomInfo Technologies LLC'
canonical: 'https://feeny.ai/job/machine-learning-engineer-zoominfo-technologies-llc-bethesda-xpgj8p142ch7'
type: 'job'
last_seen: '2026-09-22'
---

# Machine Learning Engineer at ZoomInfo Technologies LLC

- **Company:** ZoomInfo Technologies LLC
- **Location:** Bethesda, MD / Remote / Vancouver, WA / Waltham, MA
- **Compensation:** $128k–$201k
- **Work type:** remote
- **Posted:** 2026-09-21
- **Last confirmed live:** 2026-09-22
- **Apply:** https://www.zoominfo.com/careers?gh_jid=8769474002

## Job description

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.

You'll build the intelligence every ZoomInfo AI agent reasons over — what's true about companies and the people in them, how they relate, and what they're buying. As a Machine Learning Engineer, you will own outcomes end-to-end on the team extending ZoomInfo's B2B data graph into the long tail of companies with little public information, resolving entity identity at scale, and reading buying intent from meaning rather than keywords. You will apply classical machine learning, statistics, or modern language models, whichever the problem calls for, with a short path from decision to production.

## What You'll Do

- You will extend ZoomInfo's data graph into the long tail of companies with little public footprint, extracting leadership, locations, and products from company websites and detecting stale records.
- You will predict what the graph doesn't know yet, estimating headcount and revenue for under-documented companies using gradient-boosted trees, regression with missing inputs, and calibrated uncertainty.
- You will determine whether two records describe the same company or person, measuring both wrongly merged and wrongly split outcomes.
- You will infer buying intent from the meaning of web content across large volumes of multilingual, noisy text, feeding propensity scoring, lookalike retrieval, and contact recommendations.
- You will build agents that research companies and cite their sources, and design the evaluations that separate a correct result from a run that merely finished.
- You will distill large models into smaller ones that run cost-effectively across the full dataset, owning quantization and serving as part of the same work.
- You will take ambiguous, high-stakes problems from undefined to shipped, and raise the team's engineering bar through review, design, and mentorship.

## What You Bring

Must-Have:

- You have taken machine learning systems to production and owned them after launch, following the outcome into whichever layer it needs, with technical leadership as an individual contributor: setting direction for a problem area, design review, and mentoring. Depth matters more than years.
- You bring classical machine learning expertise beyond language models, including supervised learning and feature engineering on large, messy tabular data.
- You apply statistics to decisions: experiment design, statistical inference, and calibrated scores under class imbalance.
- You have deployed language processing at scale — text classification, information extraction, and entity linking over large volumes of multilingual, noisy text.
- You have built and operated LLM agents or multi-step systems in production, including tool and context design and failure analysis from traces, with evaluation for systems with no single right answer using LLM judges validated against human labels.
- You are proficient in production Python and strong SQL with distributed data processing experience, and you use AI coding tools daily with rigorous review of their output.

Preferred:

- You have experience with ranking and retrieval, including embeddings, learned re-ranking, and metrics such as recall@k, MRR, and nDCG.
- You bring propensity modeling, clustering, or entity resolution experience on messy, real-world data.
- You have trained and served open-weight models in PyTorch or an equivalent framework, tracking cost per unit of work.
- You have defended LLM systems against adversarial inputs and prompt injection, or worked on web-scale information extraction, knowledge graphs, or user memory for agents.

#LI-Remote

## #LI-VC1

Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive.

In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits [here](https://www.zoominfo.com/careers#benefits).

Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply. $128,100—$201,300 USD

About us:

ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller.

ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant [Privacy Notice](https://drive.google.com/file/d/1yiG-k0YX_sW10PiJk_xliDc3W-veJCrK/view?usp=drive_link) for more details on how we handle your personal information.

ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available [here](https://www.zoominfo.com/legal/nyc-local-law-144-notice).

ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements.

For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.

## About ZoomInfo Technologies LLC

## Company Overview
- **One-liner**: ZoomInfo is a go-to-market (GTM) intelligence platform that provides B2B data, buying intent signals, and AI-powered automation to help sales, marketing, and recruiting teams find, engage, and win customers.
- **Entity Type**: Public (Nasdaq: GTM)
- **Headquarters**: Vancouver, Washington, USA
- **Founded**: 2007
- **Founders**: Henry Schuck (also CEO and Chairman)

## Core Business
- **Primary industry/industries**: B2B Go-to-Market (GTM) Intelligence, Sales & Marketing Technology, Data as a Service
- **Target customers**: B2B companies of all sizes (SMB to Enterprise), specifically sales, marketing, recruiting, and revenue operations teams.
- **Mission or purpose statement**: “To remove guesswork from go-to-market execution” and “unlock the growth potential of professionals and businesses with better data.” [zoominfo.com](https://www.zoominfo.com/about)

## Products & Services
- **ZoomInfo Platform**: The core GTM Intelligence Platform that combines company and contact-level data with real-time buying signals and automation tools.
- **ZoomInfo Copilot**: An AI-powered assistant that delivers insights, AI-guided recommendations, and automated actions to help sales teams focus on top accounts and win deals faster.
- **GTM Studio**: A newer offering that applies generative AI and machine learning to every stage of the customer journey, enabling personalized outreach at scale.
- **Data-as-a-Service**: Access to a vast database of verified B2B contacts, firmographic, technographic, and intent data, updated via proprietary technology, machine learning, and a contributory network.

## Market Standing
- **Valuation/Market Cap**: As a public company, market cap fluctuates; check current data on a financial site (e.g., Yahoo Finance). The company went public in 2020 in what was described as the largest software IPO in a decade.
- **Key Metric**: Trusted by **35,000+** customers globally. Employs **over 3,000** people. [zoominfo.com](https://www.zoominfo.com/)
- **Notable Investors/Partners**: The company was originally founded as DiscoverOrg and acquired ZoomInfo in 2019, later taking the ZoomInfo name. It is publicly traded with a broad institutional investor base.
- **Growth Signals**: Continued investment in AI (Copilot, GTM Studio), global expansion (offices in US, Israel, UK, Canada, India, Australia), and a large and growing customer base.

## Competitive Advantages
- **Data Depth & Accuracy**: Claims to have “unmatched depth of data” with millions of verified contacts and companies tracked globally, sourced from proprietary technology, machine learning, public sources, and a contributory network.
- **Unified Platform**: Unlike many point-solution AI tools, ZoomInfo offers a single integrated platform combining data, intent signals, and automation, which reduces the need for a fragmented tech stack.
- **Market Leadership**: The company is a dominant player in the B2B data and GTM intelligence space, trusted by a massive number of businesses.

## Strategic Focus
- **AI-First Innovation**: Deep investment in AI and machine learning to power its Copilot and GTM Studio products, aiming to automate workflows and provide predictive insights.
- **Platform Consolidation**: Continuing to build out an all-in-one GTM platform that increases operational efficiency and reduces the number of tools a revenue team needs.
- **Global Expansion**: Growing its international footprint with offices and a distributed workforce to tap into global talent and markets.

## Why Work Here
- **Culture & Values**: The company emphasizes a high-energy, fast-paced, and impact-driven culture. Core values include being **Entrepreneurial**, **Relentless**, a **Team**, **Innovators**, and **Experts**. The motto is “Get to Impact, Fast.” [zoominfo.com](https://www.zoominfo.com/careers)
- **Hybrid/Remote Policy**: ZoomInfo offers a **flexible hybrid remote working model** to promote equity, employee wellness, and work-life balance. [zoominfo.com](https://www.zoominfo.com/careers/working-at-zoominfo)
- **Compensation & Benefits**: Offers a “highly competitive total rewards program” including:
    - **Equity**: Competitive equity awards for select roles upon hire and during annual programs.
    - **Time Off**: Paid Time Off, Parental Leave, and FMLA/State Leave.
    - **Family Planning**: Partnership with Carrot for fertility healthcare and family-forming benefits.
    - **Learning**: Numerous self-paced, interactive live and online learning opportunities. [zoominfo.com](https://www.zoominfo.com/careers)
- **Engineering Culture**: Described as a place where employees build, shape, and “unleash the power of data.” Engineers are empowered to take ownership from day one and work with AI-powered tools and real-time data insights. [zoominfo.com](https://www.zoominfo.com/careers/working-at-zoominfo)

## Sources
1. [ZoomInfo About Us Page](https://www.zoominfo.com/about)
2. [ZoomInfo Careers Page](https://www.zoominfo.com/careers)
3. [ZoomInfo Working at ZoomInfo Page](https://www.zoominfo.com/careers/working-at-zoominfo)
4. [ZoomInfo Homepage](https://www.zoominfo.com/)
5. [ZoomInfo LinkedIn Page](https://www.linkedin.com/company/zoominfo)

## Other roles at ZoomInfo Technologies LLC

- [Principal Infrastructure Architect: Data Platform](https://feeny.ai/job/principal-infrastructure-architect-data-platform-zoominfo-technologies-llc-3s4hmm7hrdrn)
- [Director, Applied AI](https://feeny.ai/job/director-applied-ai-zoominfo-technologies-llc-bethesda-jshn7g6ent7s) — Bethesda, MD / Remote / Vancouver, WA / Waltham, MA
- [Solutions Consultant II](https://feeny.ai/job/solutions-consultant-ii-zoominfo-technologies-llc-chennai-tamil-nadu-ehqn6renw4rz) — Chennai Tamil Nadu, India
- [Software Engineer II](https://feeny.ai/job/software-engineer-ii-zoominfo-technologies-llc-toronto-dhekfkhv5kq6) — Toronto, Canada
- [Senior Software Engineer](https://feeny.ai/job/senior-software-engineer-zoominfo-technologies-llc-bethesda-maryland-ct80pdpxdtcj) — Bethesda Maryland, United States
- [GTM Integration Engineer II](https://feeny.ai/job/gtm-integration-engineer-ii-zoominfo-technologies-llc-chennai-tamil-nadu-bxrbkb1sj9ch) — Chennai Tamil Nadu, India
- [SDET II](https://feeny.ai/job/sdet-ii-zoominfo-technologies-llc-bengaluru-7fjz962v02nc) — Bengaluru, India
- [Principal Product Manager - Vertical Data](https://feeny.ai/job/principal-product-manager-vertical-data-zoominfo-technologies-llc-remote-ehx9fr7103dk)
- [Software Engineer III - Developer Productivity](https://feeny.ai/job/software-engineer-iii-developer-productivity-zoominfo-technologies-llc-bethesda-vhdvhgbyxvwb) — Bethesda Maryland, United States
- [Account Manager, Mid-Market Preserve](https://feeny.ai/job/account-manager-mid-market-preserve-zoominfo-technologies-llc-bethesda-maryland-d8mmhzvfw88x) — Bethesda Maryland, United States / Vancouver Washington, United States / Waltham Massachusetts, United States