--- title: 'Engineering Manager, Machine Learning, Ranking at ZipRecruiter' canonical: 'https://feeny.ai/job/engineering-manager-machine-learning-ranking-ziprecruiter-remote-tdtn29kfd1gc' type: 'job' last_seen: '2026-11-06' --- # Engineering Manager, Machine Learning, Ranking at ZipRecruiter - **Company:** ZipRecruiter - **Location:** Remote - **Work type:** remote - **Posted:** 2026-11-04 - **Last confirmed live:** 2026-11-06 - **Apply:** https://job-boards.greenhouse.io/ziprecruiter/jobs/8348000 ## Job description We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.) Job description We offer a hybrid work environment. Most US-based positions can also be performed 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: Our marketplace team builds the specialized products, platforms, and intelligence systems that power our Enterprise customer segment: - Marketplace Optimization: We use machine-learning and AI techniques to optimize our job marketplace to show jobseekers the right job at the right time, and satisfying the employers who expect results for the job listings they sponsor. Four out of five employers who post a job on ZipRecruiter get a qualified candidate within the first day, and it’s our team’s responsibility to make sure that continues to be true. Key Focuses: We are seeking an Engineering Manager to lead our Ranking team within our Marketplace organization. This is a high-priority, high-impact role where you will lead a highly capable, senior team of Data Scientists and Machine Learning Engineers. We're looking for engineering managers who can own entire (or even multiple) product lines, drive business value while investing in their team's/tech stack's health, and coach engineers to build a strong culture of excellence, ownership, and personal and professional growth. - Lead and support a senior team (Data Scientists, Generalists, and MLEs), driving career development, workload balancing, and growth opportunities. - Partner closely with Product Management and Decision Science to shape the product roadmap, define metrics, and establish success criteria for marketplace balancing tests. - Evaluate day-to-day technical work, ensuring effective use of ML and AI, and providing a strong technical voice in cross-functional discussions. - Design, build, and deploy machine-learning pipelines for modeling jobseeker behavior and job marketplace dynamics. - Monitor the performance of our models for speed and accuracy. Minimum Qualifications: - 6+ years of experience in a fast-paced software development environment at scale - 2+ years of experience as a software engineering leader - Proven experience either as an experienced Machine Learning manager or as a Senior/Staff Data Scientist or MLE looking to transition into management. - Ability to assess technical value, speak the language of ML engineers, and evaluate if AI is being used effectively in day-to-day work. - Strong communication skills to collaborate effectively with leadership, product, and data science teams. - Deep experience with ML algorithms, techniques, and best practices. - Strong CS fundamentals (data structures, algorithms) and coding skills. - ML frameworks (TensorFlow, PyTorch, or scikit-learn) - Python instead of R - Java/Scala - Applied experience with Embeddings and/or vectors (the focus is on applying proven techniques, using established tools, frameworks, and models) to solve real business problems efficiently. - Demonstrated ability to build reproducible ML pipelines: including experiment tracking, data and model versioning, and environment management to ensure consistent, reliable results across runs and deployments. - Have worked through multiple versions of the same product - Experience working on a B2C or B2B Product Preferred Qualifications: - BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field - 3+ years of engineering management experience - Demonstrated experience innovating novel approaches and solutions to ambiguous problems As part of our team you’ll enjoy: - Competitive compensation - Exceptional benefits package - Flexible Vacation & Paid Time Off - Employer-matched 401(k) plan The US base salary range for this full-time position is $200,000 - $265,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations. Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits. #LI-Remote ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics. Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at: https://www.ziprecruiter.com/careers/job-applicant-privacy-notice ## About ZipRecruiter ## Company Overview - **One-liner**: ZipRecruiter operates a leading AI-powered online employment marketplace that actively connects job seekers with employers. - **Entity Type**: Public (NYSE: ZIP) - **Headquarters**: Santa Monica, California, USA (with additional offices in Phoenix, Arizona; London, UK; Tel Aviv, Israel) - **Founded**: 2010 - **Founders**: Ian Siegel, Joe Edmonds, Ward Poulos, Adam Tichauer ## Core Business - **Primary industry**: Online employment marketplace / human resources technology - **Target customers**: B2B (employers of all sizes, from SMBs to enterprises) and B2C (job seekers) - **Mission or purpose statement**: “To actively connect people to their next great opportunity.” ## Products & Services - **ZipRecruiter Marketplace**: An AI-powered two-sided platform where employers post jobs and receive matched candidate recommendations, and job seekers find relevant roles and get real-time application status updates. (SaaS / Marketplace) - **Phil (AI Career Advisor)**: An AI-driven assistant that personalizes the job seeker experience by recommending opportunities and providing guidance. (AI / Software) - **Employer Tools**: Suite of hiring solutions including job distribution, candidate screening, and analytics dashboards. (SaaS) ## Market Standing - **Valuation/Market Cap**: Not publicly available in the provided sources (refer to public stock listings for current market cap). - **Key Metric**: Annual revenue reported in SEC filings (10‑K for fiscal year ended December 31, 2025 is available); the company employed over 800 people as of that date. - **Notable Investors/Partners**: The company is publicly traded; notable early investors include institutional venture capital firms (specific names not provided in search results). - **Growth Signals**: - Over 4.9 million businesses have used ZipRecruiter for hiring, and 172 million+ job seekers have used the platform. - #1 rated hiring site in the U.S. and #1 rated job search app on iOS and Android. - Recognized by Comparably, Newsweek (“Most Loved Workplaces” 2023), and Great Place to Work (2025). - Maintains a remote/hybrid workforce and offices in multiple locations. ## Competitive Advantages - **AI‑powered matching technology**: Advanced deep‑learning NLP trained on billions of interactions continuously improves the relevance of job recommendations for both sides of the marketplace. - **Network effects**: A large, active user base creates a virtuous cycle that attracts more employers and job seekers. - **Brand recognition**: Consistently ranked as the #1 job site in the U.S., with high trust among job seekers and employers. ## Strategic Focus - Continued investment in AI and machine learning to enhance matching accuracy and user experience. - Scaling the marketplace by attracting more employers and job seekers, particularly in enterprise and staffing segments. - Expanding remote‑work capabilities and maintaining a flexible, hybrid workforce to attract top talent. ## Why Work Here - **Culture & Values**: The company emphasizes “fearless builders,” “excellence without egos,” inclusion, and belonging. Employee‑led groups and a safe environment for risk‑taking are core. - **Work Flexibility**: Remote‑friendly for many roles; collaboration weeks are held several times a year to bring teams together in person. Offices are open in Santa Monica, Phoenix, and London. - **Compensation & Perks**: Competitive compensation packages, health benefits, financial wellness resources, ample time off, and a stocked kitchen at offices. - **Recognition**: Named a “Great Place to Work” (2025) and “Most Loved Workplace” (Newsweek 2023). Over half of leadership positions are filled internally, reflecting a commitment to career development. - **Engineering Culture**: Focus on big data, machine learning, full‑stack development, and site reliability; many remote and on‑site engineering roles open (Senior Software Engineer, ML, Big Data, etc.). ## Sources 1. [sec.gov – ZipRecruiter 10‑K Filing (FY2025)](https://www.sec.gov/Archives/edgar/data/1617553/000161755326000025/ziprecruiterinc_20260225x.pdf) 2. [ziprecruiter.com – About Us](https://www.ziprecruiter.com/about) 3. [ziprecruiter.com – Careers](https://www.ziprecruiter.com/careers) 4. [greenhouse.io – ZipRecruiter Job Board](http://job-boards.greenhouse.io/ziprecruiter) 5. [linkedin.com – ZipRecruiter Company Page](https://www.linkedin.com/company/ziprecruiter) ## Other roles at ZipRecruiter - [Engineering Manager, Machine Learning, Ranking](https://feeny.ai/job/engineering-manager-machine-learning-ranking-ziprecruiter-santa-monica-y0p2wm2bnqcf) — Santa Monica, CA - [Software Engineer, Big Data, Tech Enablement](https://feeny.ai/job/software-engineer-big-data-tech-enablement-ziprecruiter-santa-monica-6tdkxpn06rc8) — Santa Monica, CA - [Software Engineer, Big Data, Tech Enablement](https://feeny.ai/job/software-engineer-big-data-tech-enablement-ziprecruiter-remote-2vw00yf37spq) - [Senior Software Engineer, Big Data, Tech Enablement](https://feeny.ai/job/senior-software-engineer-big-data-tech-enablement-ziprecruiter-santa-monica-9609qg0q57mt) — Santa Monica, CA - [Senior Software Engineer, Big Data, Tech Enablement](https://feeny.ai/job/senior-software-engineer-big-data-tech-enablement-ziprecruiter-remote-wnxgfy4wadm1) - [Sr. Director, Product Design](https://feeny.ai/job/sr-director-product-design-ziprecruiter-santa-monica-npea6w3e402r) — Santa Monica, CA - [Sr. Manager, Enterprise Marketing](https://feeny.ai/job/sr-manager-enterprise-marketing-ziprecruiter-remote-4cb3dhw0nzqq) - [Decision Science Manager](https://feeny.ai/job/decision-science-manager-ziprecruiter-santa-monica-ace5mmtp3fg8) — Santa Monica, CA - [Sr. Decision Scientist, Mobile](https://feeny.ai/job/sr-decision-scientist-mobile-ziprecruiter-santa-monica-t4xfzd6a56nc) — Santa Monica, CA - [IT Support Technician](https://feeny.ai/job/it-support-technician-ziprecruiter-santa-monica-5zm5q0jxkq77) — Santa Monica, CA