{"schemaVersion":"jobsearcher.job.v1","id":"f278e6528a11dba880d694f4","url":"https://jobsearcher.com/jobs/f278e6528a11dba880d694f4","canonicalUrl":"https://jobsearcher.com/jobs/f278e6528a11dba880d694f4","title":"Senior Machine Learning Engineer","description":"Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.\n\nHive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!\n\nSenior Machine Learning Engineer\n\nIn order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We value hard workers who have no qualms working with terabyte-scale datasets, who are interested in learning new technologies at all levels of the machine learning stack, and who move fast and take ownership of their projects. Our ideal candidate has experience creating a working machine learning-powered project from the ground up, contributes innovative ideas and ingenious implementations to the team, and is capable of planning out scalable, maintainable data pipelines.\nResponsibilities\nEverything involved in applying a ML model to a production use case, including, designing and coding up the neural network, gathering and refining data, training and tuning the model, deploying it at scale with high throughput and uptime, and analyzing the results in the wild in order to continuously update and improve accuracy and speed\nWrite and maintain scalable, performant and secure code that can be shared across platforms\nMeaningfully contribute to the product and core backend systems by suggesting and executing improvements\nImprove engineering standards, tooling, processes and security\nDevelop novel, accurate, and performant ML algorithms for use at scale\nConduct metric-driven research experiments to improve model performance\nProvide mentorship to and help onboard junior ML engineers\nCollaborate cross-functionally with other teams\nUtilize OWASP top 10 techniques to secure code from vulnerabilities\nMaintain awareness of industry best practices for data maintenance handling as it relates to your role\nAdhere to policies, guidelines and procedures pertaining to the protection of information assets\nReport actual or suspected security and/or policy violations/breaches to an appropriate authority\nRequirements\nYou have a Bachelor's Degree in computer science or a related field\nYou have a minimum of 5 years of building production scale ML models\nYou know the ins and outs modern machine learning frameworks, such as PyTorch or Tensorflow\nYou are an expert in scripting languages such as Python and/or shell scripts, particularly for data analysis\nYou have experience writing code and training across distributed systems\nYou have an ability to understand and make well-reasoned tradeoffs in designing features\nYou can lead end to end development of new products\nYou are very knowledgeable in at least one focus area of machine learning, such as computer vision or NLP\nYou strongly believe in high code quality, automated testing, and other engineering best practices\nYou have attention to detail and a passion for correctness\nYou are comfortable with ambiguity and scoping solutions with your teammates\nYou have strong interpersonal and communication skills with a bias towards action\nWho We Are\n\nWe are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.\n\nThank you for your interest in Hive and we hope to meet you soon!\n\nThe current expected base salary for this position ranges from $160,000 - $250,000. Actual compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.\nWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.","company":"Hive","rawCompany":"hive","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-09-06T10:25:25.159Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Machine Learning Engineer","description":"Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.\n\nHive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!\n\nSenior Machine Learning Engineer\n\nIn order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We value hard workers who have no qualms working with terabyte-scale datasets, who are interested in learning new technologies at all levels of the machine learning stack, and who move fast and take ownership of their projects. Our ideal candidate has experience creating a working machine learning-powered project from the ground up, contributes innovative ideas and ingenious implementations to the team, and is capable of planning out scalable, maintainable data pipelines.\nResponsibilities\nEverything involved in applying a ML model to a production use case, including, designing and coding up the neural network, gathering and refining data, training and tuning the model, deploying it at scale with high throughput and uptime, and analyzing the results in the wild in order to continuously update and improve accuracy and speed\nWrite and maintain scalable, performant and secure code that can be shared across platforms\nMeaningfully contribute to the product and core backend systems by suggesting and executing improvements\nImprove engineering standards, tooling, processes and security\nDevelop novel, accurate, and performant ML algorithms for use at scale\nConduct metric-driven research experiments to improve model performance\nProvide mentorship to and help onboard junior ML engineers\nCollaborate cross-functionally with other teams\nUtilize OWASP top 10 techniques to secure code from vulnerabilities\nMaintain awareness of industry best practices for data maintenance handling as it relates to your role\nAdhere to policies, guidelines and procedures pertaining to the protection of information assets\nReport actual or suspected security and/or policy violations/breaches to an appropriate authority\nRequirements\nYou have a Bachelor's Degree in computer science or a related field\nYou have a minimum of 5 years of building production scale ML models\nYou know the ins and outs modern machine learning frameworks, such as PyTorch or Tensorflow\nYou are an expert in scripting languages such as Python and/or shell scripts, particularly for data analysis\nYou have experience writing code and training across distributed systems\nYou have an ability to understand and make well-reasoned tradeoffs in designing features\nYou can lead end to end development of new products\nYou are very knowledgeable in at least one focus area of machine learning, such as computer vision or NLP\nYou strongly believe in high code quality, automated testing, and other engineering best practices\nYou have attention to detail and a passion for correctness\nYou are comfortable with ambiguity and scoping solutions with your teammates\nYou have strong interpersonal and communication skills with a bias towards action\nWho We Are\n\nWe are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.\n\nThank you for your interest in Hive and we hope to meet you soon!\n\nThe current expected base salary for this position ranges from $160,000 - $250,000. Actual compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.\nWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.","datePosted":"2026-09-06T10:25:25.159Z","dateModified":"2026-09-06T10:25:25.159Z","hiringOrganization":{"@type":"Organization","name":"Hive","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"f278e6528a11dba880d694f4"},"url":"https://jobsearcher.com/jobs/f278e6528a11dba880d694f4"}}