--- title: 'Senior Software Engineer, Machine Learning at ZipRecruiter' canonical: 'https://feeny.ai/job/senior-software-engineer-machine-learning-ziprecruiter-santa-monica-32zcbjfpse7t' type: 'job' last_seen: '2026-09-11' --- # Senior Software Engineer, Machine Learning at ZipRecruiter - **Company:** ZipRecruiter - **Location:** Santa Monica, CA - **Work type:** remote - **Posted:** 2023-10-16 - **Last confirmed live:** 2026-09-11 - **Apply:** https://job-boards.greenhouse.io/ziprecruiter/jobs/5167470 ## 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: At ZipRecruiter, where a universe of data, brimming with over a billion archived job postings, tens of millions of dynamic job seekers, and countless impression and click events, there’s plenty of opportunities for innovation. Here, your experience will be put to work crafting new, data-driven features that impact the lives of millions, connecting them to their dream jobs. We're tackling exciting challenges: imagine developing a system that can predict salaries for new job postings, using a training set of job postings and known salaries. But the fun doesn't stop at model-building. Our work involves an immersive dive into data - gathering, cleaning, analyzing, and extracting meaningful insights. Key Focuses: - Design, develop, and maintain machine learning models and algorithms to solve complex business problems - Identify patterns, trends, and anomalies in the data, and visualize insights using appropriate tools - Assess the performance of machine learning models using appropriate metrics, validation techniques, and testing datasets - Discover opportunities to optimize models by fine-tuning hyperparameters, feature selection, or employing regularization techniques to improve accuracy, performance, and scalability Minimum Qualifications: - 3+ year of professional software development experience with a focus in machine learning - Deep experience in machine learning algorithms, techniques, and best practices - Comprehensive computer science fundamentals in coding, object-oriented programming, data structures, and algorithms Preferred Qualifications: - 5+ year of professional software development experience with a focus in machine learning - BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field or equivalent practical experience - Strong knowledge of machine learning algorithms (e.g., linear regression, SVM, decision trees, neural networks, clustering, etc.) and best practices - Experience with machine learning algorithms and frameworks, such as TensorFlow, PyTorch, or scikit-learn - Experience with 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) - Background with 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 $170,000-$240,000. 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 - [Sr. Manager, Decision Science](https://feeny.ai/job/sr-manager-decision-science-ziprecruiter-santa-monica-h45vqrzrwsmf) — Santa Monica, CA - [Sales Compensation Manager](https://feeny.ai/job/sales-compensation-manager-ziprecruiter-new-york-fq1gm2k4qy70) — New York, NY - [Sr. Product Manager, SMB](https://feeny.ai/job/sr-product-manager-smb-ziprecruiter-santa-monica-p39jjp39dvjg) — Santa Monica, CA - [Lead Product Manager, Employer Acquisition](https://feeny.ai/job/lead-product-manager-employer-acquisition-ziprecruiter-santa-monica-x25v40wyw826) — Santa Monica, CA - [Staff Machine Learning Engineer, Recommendations](https://feeny.ai/job/staff-machine-learning-engineer-recommendations-ziprecruiter-santa-monica-mm4b5342grnv) — Santa Monica, CA - [Lead Executive Administrative Partner](https://feeny.ai/job/lead-executive-administrative-partner-ziprecruiter-santa-monica-h2w86bs8xegm) — Santa Monica, CA - [Inside Sales - MidMarket Account Manager](https://feeny.ai/job/inside-sales-midmarket-account-manager-ziprecruiter-phoenix-php7ypx4016s) — Phoenix, AZ - [Trust & Safety Associate](https://feeny.ai/job/trust-safety-associate-ziprecruiter-phoenix-gn95tgb9c4aw) — Phoenix, AZ - [Engineering Manager, Big Data](https://feeny.ai/job/engineering-manager-big-data-ziprecruiter-remote-4t25mfhk7g09) - [Engineering Manager, Machine Learning](https://feeny.ai/job/engineering-manager-machine-learning-ziprecruiter-remote-pvcne9wd2w73)