Careers at ZipRecruiter

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 the fastest-growing online employment marketplace for both desktop and mobile traffic. Powered by AI-driven smart matching technology, we’re building connections for millions of job seekers and businesses of all sizes through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. As the #1 rated job search app on iOS & Android for the past 6 years, our customers are our priority. About the Team: We’re looking for software engineers who are passionate about building an intuitive experience for our marketplace serving millions of jobseekers and tens of thousands of customers. Our teams have a unique opportunity to work at scale, building fast, scalable, and effective applications that help connect people to their next job. Whether it’s supporting our job seekers, employers, or internal developers, you will have a real impact on and be able to shape the ZipRecruiter product. This role will be hybrid based out of the headquarters in Santa Monica, California. In this role you'll also get the opportunity to become more deeply specialized in one of the following disciplines to better prepare you for a full-time career: Big Data Full Stack Machine Learning About the Job: Take part in the full life cycle of user-facing applications at scale, from design to implementation and testing to production Develop a strong understanding of the business, industry, codebase, and/or systems Write, test, instrument, and deploy high quality code with good test coverage, using modern abstractions and frameworks to our Kubernetes environment Help drive the innovation and evolution of ZipRecruiter Minimum Qualifications: Currently enrolled in a full-time, Computer Science degree-seeking program or related technical field with an expected graduation date in 2027 *OR a recent graduate with a graduation date from Spring 2025 to Fall 2026 Demonstrated foundation in software engineering through previous internship experience or equivalent practical experience Fluency with at least 1 general purpose programming language (e.g., Python, Java, Go, C++, Javascript) An interest in becoming more specialized in at least one of the following disciplines: Big Data, Full Stack, or Machine Learning Ability to work a hybrid schedule from our Santa Monica headquarters. Preferred Qualifications: Fluency in multiple programming languages or ability to pick up new languages quickly Experience working with both non-relational and relational database systems Exposure to developing client side interactions using frameworks like React along with Vanilla Javascript, CSS, and HTML Analytical and problem-solving skills along with a self-starter mentality Passion for and experience with creating an intuitive, user-friendly experience As part of our team you'll enjoy: Competitive salary Exceptional benefits package Flexible Vacation & Paid Time Off Employer-matched 401(k) plan The US base salary range for this full-time position is $130,000-$150,000 . 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

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 the fastest-growing online employment marketplace for both desktop and mobile traffic. Powered by AI-driven smart matching technology, we’re building connections for millions of job seekers and businesses of all sizes through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. As the #1 rated job search app on iOS & Android for the past 6 years, our customers are our priority. About the Team: We’re looking for software engineering interns who are passionate about building an intuitive experience for our marketplace serving millions of jobseekers and tens of thousands of customers. Our teams have a unique opportunity to work at scale, building fast, scalable, and effective applications that help connect people to their next job. As a summer intern, you’ll join our 12-16 week program in our Santa Monica office and work on a combination of sprint work with your team and a project designed to provide you with the ability to develop high quality, high-performance code, consider trade-offs, iterate on solutions and expand on scope and scalability. Whether it’s supporting our job seekers, employers, or internal developers, you will have a real impact on and be able to shape the ZipRecruiter product. You'll also get the opportunity to become more deeply specialized in one of the following disciplines to better prepare you for a full-time career. Big Data Full Stack Machine Learning About the Job: Take part in the full life cycle of user-facing applications at scale, from design to implementation and testing to production Develop a strong understanding of the business, industry, codebase, and/or systems Write, test, instrument, and deploy high quality code with good test coverage, using modern abstractions and frameworks to our Kubernetes environment Help drive the innovation and evolution of ZipRecruiter Minimum Qualifications: Currently enrolled in a full-time, Computer Science degree-seeking program or related technical field with an expected graduation date between December 2027 and November 2028 . Demonstrated foundation in software engineering through previous internship experience or equivalent practical experience Fluency with at least 1 general purpose programming language (e.g., Python, Java) Ability to work in-person in our Santa Monica office for the summer. An interest in becoming more specialized in at least one of the following disciplines: Big Data, Full Stack, or Machine Learning. Preferred Qualifications: Fluency in multiple programming languages or ability to pick up new languages quickly Experience working with both non-relational and relational database systems Exposure to developing client side interactions using frameworks like React along with plain Javascript, CSS and HTML Analytical and problem-solving skills along with a self-starter mentality Passion for and experience with creating an intuitive, user-friendly experience As part of our team you'll enjoy: Competitive salary Exceptional benefits and perks #LI-Remote The US base pay range for this full-time position is $45.00/hr - $50.00/hr . Our pay 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

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 team has a unique opportunity to work on applications and data at scale, serving millions of jobseekers and tens of thousands of customers. We’re working on building an efficient marketplace of jobseekers and employers and need senior data engineers to build fast, scalable, and effective applications, stream and batch data processing, ML infrastructure and a variety of other systems all to help connect people to their next job. We provide an essential service and have a thriving business as a result. Our stack is complex and we’re looking for engineers who know how to write evolvable, properly instrumented, and efficient code as part of a growing distributed system. We’re working on data driven systems and applications and need people who can build fast services and processes to power all of the intelligence we use to help change people’s lives. Responsibilities: Build data processing and exploration pipelines along with ML infrastructure to power our intelligence Deploy a range of cloud-based technologies for critical projects Write, test, instrument, and deploy code to our Kubernetes environment Help drive the innovation and evolution of ZipRecruiter Minimum Qualifications: 2+ years of professional software development experience with a focus on Python and big data technologies Experience with Spark, Kafka, Hadoop, Hive, and/or other big data technologies Comprehensive computer science fundamentals in coding, object-oriented programming, data structures, and algorithms Experience with containerization technologies like Docker and/or Kubernetes Preferred Qualifications: 4+ years of professional software development experience, with a focus on Python and big data technologies BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field or equivalent practical experience Experience with data integration tools like Apache Kafka, Flume, and NiFi Familiarity with data storage technologies such as Delta Lake, HBase, Cassandra, and MongoDB Familiarity with Apache Hudi, Apache Beam, Apache Flink, Google Cloud Dataflow, Amazon Kinesis Data Analytics, and/or Azure Databricks 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 $130,000-$175,000. 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

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 team has a unique opportunity to work on applications and data at scale, serving millions of jobseekers and tens of thousands of customers. We’re working on building an efficient marketplace of jobseekers and employers and need senior data engineers to build fast, scalable, and effective applications, stream and batch data processing, ML infrastructure and a variety of other systems all to help connect people to their next job. We provide an essential service and have a thriving business as a result. Our stack is complex and we’re looking for engineers who know how to write evolvable, properly instrumented, and efficient code as part of a growing distributed system. We’re working on data driven systems and applications and need people who can build fast services and processes to power all of the intelligence we use to help change people’s lives. Responsibilities: Build data processing and exploration pipelines along with ML infrastructure to power our intelligence Deploy a range of cloud-based technologies for critical projects Write, test, instrument, and deploy code to our Kubernetes environment Help drive the innovation and evolution of ZipRecruiter Minimum Qualifications: 5+ years of professional software development experience with a focus on Python and big data technologies Experience with Spark, Kafka, Hadoop, Hive, and/or other big data technologies Comprehensive computer science fundamentals in coding, object-oriented programming, data structures, and algorithms Experience with containerization technologies like Docker and/or Kubernetes Preferred Qualifications: 8+ years of professional software development experience, with a focus on Python and big data technologies BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field or equivalent practical experience Experience with data integration tools like Apache Kafka, Flume, and NiFi Familiarity with data storage technologies such as Delta Lake, HBase, Cassandra, and MongoDB Familiarity with Apache Hudi, Apache Beam, Apache Flink, Google Cloud Dataflow, Amazon Kinesis Data Analytics, and/or Azure Databricks 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 $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. #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

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 team has a unique opportunity to work on applications and data at scale, serving millions of jobseekers and tens of thousands of customers. We’re working on building an efficient marketplace of jobseekers and employers and need senior data engineers to build fast, scalable, and effective applications, stream and batch data processing, ML infrastructure and a variety of other systems all to help connect people to their next job. We provide an essential service and have a thriving business as a result. Our stack is complex and we’re looking for engineers who know how to write evolvable, properly instrumented, and efficient code as part of a growing distributed system. We’re working on data driven systems and applications and need people who can build fast services and processes to power all of the intelligence we use to help change people’s lives. Responsibilities: Build data processing and exploration pipelines along with ML infrastructure to power our intelligence Deploy a range of cloud-based technologies for critical projects Write, test, instrument, and deploy code to our Kubernetes environment Help drive the innovation and evolution of ZipRecruiter Minimum Qualifications: 5+ years of professional software development experience with a focus on Python and big data technologies Experience with Spark, Kafka, Hadoop, Hive, and/or other big data technologies Comprehensive computer science fundamentals in coding, object-oriented programming, data structures, and algorithms Experience with containerization technologies like Docker and/or Kubernetes Preferred Qualifications: 8+ years of professional software development experience, with a focus on Python and big data technologies BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field or equivalent practical experience Experience with data integration tools like Apache Kafka, Flume, and NiFi Familiarity with data storage technologies such as Delta Lake, HBase, Cassandra, and MongoDB Familiarity with Apache Hudi, Apache Beam, Apache Flink, Google Cloud Dataflow, Amazon Kinesis Data Analytics, and/or Azure Databricks 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 $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. #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

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

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

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

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

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, 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 delivering core algorithmic gains, you will mentor Machine Learning Engineers across the organization and establish best practices for how ML models are built, deployed, and evaluated at scale. Key Responsibilities & Strategic Impact Drive ML Strategy & Roadmap: Partner directly with Engineering and Product Leadership to define and execute the technical vision for core components in the marketplace, including but not limited to recommendation engines and matching algorithms, ML entity representation platform. Architect High-Scale Systems: Design and own state-of-the-art ML systems handling dynamic interaction prediction, candidate ranking, and candidate/job retrieval across high-throughput production environments. Optimize Two-Sided Marketplace Dynamics: Solve high-complexity matching and recommendation challenges native to two-sided marketplaces, including real-time intent prediction, bilateral relevancy, candidate cold-start problems, and feedback loops between job seekers and employers. Org-Wide Technical Leadership: Mentor and guide Machine Learning Engineers and Data Scientists across teams to instill a culture of technical excellence, rigorous experimentation, and fast production delivery. Production Excellence: Drive end-to-end model ownership—from initial exploration and feature engineering through distributed training, offline/online evaluation (A/B testing), to real-time latency optimization. Minimum Qualifications 8+ years of professional experience developing and deploying machine learning models in large-scale production environments. Proven track record of architecting and shipping end-to-end ML solutions that serve production traffic at scale. Deep domain expertise in Recommendation Systems, Personalization, Ranking & Retrieval, or Interaction Prediction . Strong software engineering fundamentals with hands-on expertise using modern deep learning frameworks (PyTorch, TensorFlow). Proven experience in technical leadership and mentorship , driving technical alignment across cross-functional engineering and product teams. Strong background in statistical modeling, online experimentation (A/B testing methodology), and offline metric design. Preferred Qualifications Experience in Two-Sided Marketplaces: Familiarity with supply/demand liquidity, bilateral matching algorithms, dynamic pricing, or auction-based models. Modern deep learning techniques for recommendations, such as Two-Tower Neural Networks, Graph Neural Networks (GNNs), Transformer-based retrieval models, or Contextual Bandits . Advanced degree (MS/PhD) in Computer Science, Machine Learning or a related quantitative field or equivalent experience. Experience with modern MLOps architectures and distributed training frameworks. 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 $205,000.00-$265,000.00 USD. 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