--- title: 'Staff Software Engineer, Machine Learning at ZipRecruiter' canonical: 'https://feeny.ai/job/staff-software-engineer-machine-learning-ziprecruiter-santa-monica-w57wb90rrv8f' type: 'job' last_seen: '2026-11-06' --- # Staff Software Engineer, Machine Learning at ZipRecruiter - **Company:** ZipRecruiter - **Location:** Santa Monica, CA - **Work type:** remote - **Posted:** 2023-10-16 - **Last confirmed live:** 2026-11-06 - **Apply:** https://job-boards.greenhouse.io/ziprecruiter/jobs/5167496 ## 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: With data such as a billion+ historical job postings, tens of millions of active job seekers interacting with our system, and hundreds of billions of impression and click events, there are incredible opportunities to use your skills to build new data-driven features. Working at ZipRecruiter, you will be helping literally millions of people find their dream job. We’re working on problems like: given a training set of job postings, and known salaries, build a system that predicts salary for novel jobs.Of course, you know that while building models is fun, it's also just one step in the process; gathering training data, cleansing it, digging into it, extracting features from it, etc, is a huge part of the job Key Focuses: - Design, develop, and maintain advanced machine learning models and algorithms to solve complex business problems - Lead complex machine learning projects that solve business challenges and add value to the broader ZipRecruiter Business - Design the overall architecture and infrastructure for machine learning systems, ensuring scalability, efficiency, and robustness - Push the boundaries of what's possible in machine learning in your organization, finding new and innovative ways to use AI to drive business value - Provide leadership and set tone for Machine Learning Engineers at ZipRecruiter leveraging industry best practices and innovation - Stay up-to-date with the latest developments in machine learning and AI, and drive adoption of new techniques and technologies as appropriate Minimum Qualifications: - 7+ year of professional software development experience with a deep focus in machine learning - Comprehensive knowledge and experience of machine learning algorithms, techniques, and best practices - Extensive experience in machine learning model design, data pipeline design, experimentation and validation design, system design, and/or architecture design. Preferred Qualifications: - 10+ year of professional software development experience with an expertise in machine learning - BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field or equivalent practical experience - Expert knowledge of machine learning algorithms (e.g., linear regression, SVM, decision trees, neural networks, clustering, etc.) and best practices - Profound knowledge of machine learning algorithms and frameworks, such as TensorFlow, PyTorch, or scikit-learn - Extensive background of deep learning architectures and techniques, such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM), and Generative Adversarial Networks (GANs) - Deeply versed in NLP techniques and tools, such as tokenization, stemming, lemmatization, sentiment analysis, and named entity recognition, and libraries like NLTK, SpaCy, or BERT As part of our team you’ll enjoy: - Competitive compensation - Exceptional benefits package - Flexible Vacation & Paid Time Off - Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is $205,000-$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. 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 - [Engineering Manager, Machine Learning, Ranking](https://feeny.ai/job/engineering-manager-machine-learning-ranking-ziprecruiter-remote-tdtn29kfd1gc) - [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