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Senior Software Engineer, Machine Learning

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92% of candidates apply because they are a Most Loved Workplace®
Remote
710 Tech

About the Role

At ZipRecruiter, a Most Loved Workplace® certified employer in the HR Tech space, Connect talent with opportunity through intelligent matching technology.

<div class="content-intro"><p><span style="font-weight: 400;">We offer a hybrid work environment. Most US-based positions can also</span><strong> </strong><span style="font-weight: 400;">be</span><strong> </strong><span style="font-weight: 400;">performed remotely (any exceptions will be noted in the Minimum Qualifications below.)</span></p></div><p><strong>Our Mission:</strong><span style="font-weight: 400;"> </span></p>

<p><span style="font-weight: 400;">To actively connect people to their next great opportunity. </span></p>

<h4><strong>Who We Are: </strong></h4>

<p><span style="font-weight: 400;">ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, ZipRecruiter 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.</span></p>

<h4><strong>Summary:</strong></h4>

<p><span style="font-weight: 400;">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.</span></p>

<p><span style="font-weight: 400;">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.</span></p>

<p><strong>Key Focuses:</strong></p>

<ul>

<li style="font-weight: 400;"><span style="font-weight: 400;">Design, develop, and maintain machine learning models and algorithms to solve complex business problems</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Identify patterns, trends, and anomalies in the data, and visualize insights using appropriate tools</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Assess the performance of machine learning models using appropriate metrics, validation techniques, and testing datasets</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Discover opportunities to optimize models by fine-tuning hyperparameters, feature selection, or employing regularization techniques to improve accuracy, performance, and scalability</span></li>

</ul>

<h4><strong>Minimum Qualifications:</strong></h4>

<ul>

<li style="font-weight: 400;"><span style="font-weight: 400;">3+ year of professional software development experience with a focus in machine learning</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Deep experience in machine learning algorithms, techniques, and best practices</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Comprehensive computer science fundamentals in coding, object-oriented programming, data structures, and algorithms</span></li>

</ul>

<p><strong>Preferred Qualifications:</strong></p>

<ul>

<li style="font-weight: 400;"><span style="font-weight: 400;">5+ year of professional software development experience with a focus in machine learning</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field or equivalent practical experience</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Strong knowledge of machine learning algorithms (e.g., linear regression, SVM, decision trees, neural networks, clustering, etc.) and best practices</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Experience with machine learning algorithms and frameworks, such as TensorFlow, PyTorch, or scikit-learn</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">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)</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Background with NLP techniques and tools, such as tokenization, stemming, lemmatization, sentiment analysis, and named entity recognition, and libraries like NLTK, SpaCy, or BERT</span></li>

</ul>

<p><strong>As part of our team you’ll enjoy:</strong></p>

<ul>

<li style="font-weight: 400;"><span style="font-weight: 400;">Competitive compensation</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Exceptional benefits package</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Flexible Vacation & Paid Time Off</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Employer-matched 401(k) plan </span></li>

</ul>

<p><span style="font-weight: 400;">#LI-Remote</span></p>

<p><span style="font-weight: 400;">The US base salary range for this full-time position is $140,000-$225,000. 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.</span></p>

<p><span style="font-weight: 400;">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.</span></p><div class="content-conclusion"><p><span style="font-weight: 400;">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.</span></p>

<p><strong data-stringify-type="bold">Privacy Notice: </strong>For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at: <a class="c-link" href="https://www.ZipRecruiter.com/careers/job-applicant-privacy-notice" target="_blank" data-stringify-link="https://www.ZipRecruiter.com/careers/job-applicant-privacy-notice" data-sk="tooltip_parent" data-remove-tab-index="true">https://www.ZipRecruiter.com/careers/job-applicant-privacy-notice</a></p></div>

Want to learn more about what it's like to work at ZipRecruiter? View our full profile.

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Why This Is a Most Loved Workplace® Certified Job

What It's Like to Work Here

Zap Courageous Innovation
Users Collaborative Problem-Solving
Heart Mission-Driven Purpose
Target Excellence in Execution
Shield Psychological Safety
Certified for: Most Loved Workplace Most Loved Workplaces® 2026, Most Loved Workplace Most Loved Workplaces® 2021

Frequently Asked Questions About Working at ZipRecruiter

Common questions candidates ask about this role and ZipRecruiter's workplace

ZipRecruiter makes meaningful connections between job seekers and employers. Over the past 12 years, our online employment marketplace has helped over 3.3 million businesses and 135 million job seekers find their next great opportunity. With offices in the U.S., Canada, U.K. and Israel, ZipRecruiter enables employees to do meaningful work that helps others change their lives through employment. Our powerful matching technology, and a dedication to creating a world class product, has made ZipRecruiter the #1 rated job search app on iOS & Android for the past five years* and #1 rated employment job site by G2.** *Based on job seeker app ratings, during the period of January 2017 to January 2022 from AppFollow for ZipRecruiter, CareerBuilder, Glassdoor, Indeed, LinkedIn, and Monster. **Based on G2 satisfaction ratings as of January 1, 2022.

This position is listed as remote based on the job location.

Salary information may vary by role and location. Please check the specific job listing or discuss compensation during the interview process.

ZipRecruiter is an established organization in its industry. The company is a certified Most Loved Workplace®, highlighting a strong, positive culture and committed workforce.

Key benefit categories include: Health & Wellness, Financial Security, Work-Life Balance, Professional Development, Lifestyle & Perks. You can view more details on their CertCheck profile.

The day-to-day environment is guided by core values such as Courageous Innovation and Collaborative Problem-Solving and Mission-Driven Purpose.

The company has committed to inclusive practices including: Fostering Trust and Transparency and Investing in Employee Growth and Development.

They have earned Most Loved Workplace® certifications including: Most Loved Workplace Most Loved Workplaces® 2026 and Most Loved Workplace Most Loved Workplaces® 2021.

ZipRecruiter currently has 40 open positions. They are hiring across departments like 765 Decision Science, 610 Product, 415 Enterprise Sales. You can view all current openings at certcheck.mostlovedworkplace.com/companies/ziprecruiter/jobs.

The interview process typically involves an initial recruiter screen followed by team interviews. Please contact ZipRecruiter's recruiting team for specific details on this role's process.

Apply for Senior Software Engineer, Machine Learning

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