{"schemaVersion":"jobsearcher.job.v1","id":"ecb496111703e146dfbe4d7e","url":"https://jobsearcher.com/jobs/ecb496111703e146dfbe4d7e","canonicalUrl":"https://jobsearcher.com/jobs/ecb496111703e146dfbe4d7e","title":"Machine Learning Engineer - Core Product","description":"At X, we’re pioneering the frontier of technology with our innovative Everything App. Our mission is to revolutionize how people connect, share ideas, and engage in meaningful conversations. We champion freedom of speech and strive to create a platform that embraces diverse perspectives. Our commitment is to foster open dialogue and empower individuals to express themselves freely.\r\nWe value:\r\nWriting code rather than documents\r\nShipping products rather than talking about roadmaps\r\nBig features rather than changing button colors\r\nIf this sounds like you, let’s talk.\r\nYour Role:\r\nAs a Machine Learning Engineer, you will play a pivotal role in providing the most compelling experience on X. Your responsibilities will include:\r\nDesigning and architecting recommendation algorithms across various product surfaces in X\r\nCollaborating with cross-functional teams to integrate machine learning models into our platform\r\nIterating and improving the algorithm by gathering user feedback in real time through experimentation\r\nEnsuring scalability and efficiency of machine learning systems\r\nMentoring junior engineers and contributing to the team's growth\r\nStaying updated on Machine Learning and Deep Learning industry trends\r\nWho You Are:\r\nWe're looking for exceptional engineers who are passionate about our mission and have a strong desire to make a meaningful impact. The ideal candidate will have:\r\nMaster, Post-graduate or PhD in computer science, machine learning, information retrieval, recommendation systems, natural language processing, statistics, math, engineering, operations research, or other quantitative discipline; or equivalent work experience\r\n2+ years of industry experience working with recommender systems and/or deep learning applications (note - we are open to hiring for this role at all levels)\r\nGood theoretical grounding in core machine learning concepts and techniques\r\nAbility to perform comprehensive literature reviews and provide critical feedback on state-of-the-art solutions and how they may fit to different operating constraints\r\nExperience with a number of ML techniques and frameworks, e.g. data discretization, normalization, sampling, linear regression, decision trees, SVMs, deep neural networks, bandits, reinforcement learning, etc.\r\nFamiliarity with one or more DL software frameworks such as Tensorflow, PyTorch.\r\nAt X, our small but fast-paced team values innovation, creativity, and a strong commitment to our mission. As a Machine Learning Engineer, you'll have the opportunity to make a significant impact on the future of X and our aspiration to build the Everything App.\r\nIf you're an exceptional engineer who shares our passion for freedom of speech, we'd love to hear from you.\r\nIf you thrive in a dynamic, high-growth tech environment and relish the opportunity to collaborate with passionate, driven over-achievers, your career with us here at X will be both exhilarating and fulfilling!#J-18808-Ljbffr","company":"X","rawCompany":"x","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-09-23T01:14:13.351Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"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":"Machine Learning Engineer - Core Product","description":"At X, we’re pioneering the frontier of technology with our innovative Everything App. Our mission is to revolutionize how people connect, share ideas, and engage in meaningful conversations. We champion freedom of speech and strive to create a platform that embraces diverse perspectives. Our commitment is to foster open dialogue and empower individuals to express themselves freely.\r\nWe value:\r\nWriting code rather than documents\r\nShipping products rather than talking about roadmaps\r\nBig features rather than changing button colors\r\nIf this sounds like you, let’s talk.\r\nYour Role:\r\nAs a Machine Learning Engineer, you will play a pivotal role in providing the most compelling experience on X. Your responsibilities will include:\r\nDesigning and architecting recommendation algorithms across various product surfaces in X\r\nCollaborating with cross-functional teams to integrate machine learning models into our platform\r\nIterating and improving the algorithm by gathering user feedback in real time through experimentation\r\nEnsuring scalability and efficiency of machine learning systems\r\nMentoring junior engineers and contributing to the team's growth\r\nStaying updated on Machine Learning and Deep Learning industry trends\r\nWho You Are:\r\nWe're looking for exceptional engineers who are passionate about our mission and have a strong desire to make a meaningful impact. The ideal candidate will have:\r\nMaster, Post-graduate or PhD in computer science, machine learning, information retrieval, recommendation systems, natural language processing, statistics, math, engineering, operations research, or other quantitative discipline; or equivalent work experience\r\n2+ years of industry experience working with recommender systems and/or deep learning applications (note - we are open to hiring for this role at all levels)\r\nGood theoretical grounding in core machine learning concepts and techniques\r\nAbility to perform comprehensive literature reviews and provide critical feedback on state-of-the-art solutions and how they may fit to different operating constraints\r\nExperience with a number of ML techniques and frameworks, e.g. data discretization, normalization, sampling, linear regression, decision trees, SVMs, deep neural networks, bandits, reinforcement learning, etc.\r\nFamiliarity with one or more DL software frameworks such as Tensorflow, PyTorch.\r\nAt X, our small but fast-paced team values innovation, creativity, and a strong commitment to our mission. As a Machine Learning Engineer, you'll have the opportunity to make a significant impact on the future of X and our aspiration to build the Everything App.\r\nIf you're an exceptional engineer who shares our passion for freedom of speech, we'd love to hear from you.\r\nIf you thrive in a dynamic, high-growth tech environment and relish the opportunity to collaborate with passionate, driven over-achievers, your career with us here at X will be both exhilarating and fulfilling!#J-18808-Ljbffr","datePosted":"2026-09-23T01:14:13.351Z","dateModified":"2026-09-23T01:14:13.351Z","hiringOrganization":{"@type":"Organization","name":"X","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ecb496111703e146dfbe4d7e"},"url":"https://jobsearcher.com/jobs/ecb496111703e146dfbe4d7e"}}