RemoteMatch
ZipRecruiter100% Remote

Staff Machine Learning Engineer

Employment

Full-time

Remote Scope

US

Date Posted

Oct 22, 2026

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About the Role

We offer a hybrid work environment. Most US-based positions can alsobeperformed remotely (any exceptions will be noted in the Minimum Qualifications below.) Our Mission: To actively connect people to their next great opportunity. Who We Are: ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. Summary : At ZipRecruiter, we sit on a massive universe of data—over a billion archived job postings, tens of millions of dynamic job seekers, and billions of impressions, clicks, and application events. Connecting the right job seeker with the right employer in real time is a complex two-sided marketplace problem , where precision, scale, and latent intent prediction directly impact millions of lives. We are seeking a Staff Machine Learning Engineer / Data Scientist to serve as a technical anchor for our machine learning and AI capabilities. Reporting directly to the Director of Recommendation Systems, you will be a core partner in shaping our multi-year ML roadmap, driving foundational algorithmic architecture, and translating complex machine learning research into high-throughput, low-latency production systems. This is a high-visibility role with org-wide reach. Beyond

Required Skills & Technologies

Machine-Learning-EngineeringData-ScienceStaff-Machine-Learning-EngineerAI-EngineeringRecommendation-SystemsStaff-ML-EngineerStaff-Machine-Learning-ScientistSenior-Staff-Machine-Learning-EngineerSr.-Staff-Machine-Learning-EngineerStaff-Machine-Learning-EngineeringStaff-AI-EngineerStaff-Applied-AI-EngineerStaff-AI-Software-EngineerSr.-Staff-AI-Engineer
Link verified: 10/22/2026

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