{"schemaVersion":"jobsearcher.job.v1","id":"b2a8d49ce115663d6c4a04be","url":"https://jobsearcher.com/jobs/b2a8d49ce115663d6c4a04be","canonicalUrl":"https://jobsearcher.com/jobs/b2a8d49ce115663d6c4a04be","title":"Staff Applied Scientist - Machine Learning","description":"Description\nRokt is an ecommerce technology company with the mission of making every transaction more relevant. The Rokt ecommerce Network leverages proprietary machine learning systems, powering billions of transactions for hundreds of millions of customers, and is trusted to do this by companies like Live Nation, Fanatics, Macy's, AMC Theatres, PayPal, Uber, Hulu, Staples, Albertsons and HelloFresh.\n\nThe Role: As a Staff Applied Scientist in the Rokt Brain team, you will lead applied research, experimentation, and model development projects - harnessing a diversity of ML theories, concepts, and models to improve complex systems powering 10 billion+ transactions per year.\n\nGrowth: pathways to Principal Applied Scientist (IC Track) and Applied Science Manager/Director (People Leader track) per your preferences and abilities.\n\nPay: Target total compensation ranges from $470k - $615k, comprised of a fixed annual salary of $290k - $360k, plus employee equity plan grant. In addition, you will receive world-class employee benefits.\n\nResponsibilities:\n\nTechnical\nOwn the research, design, development, testing, deployment and maintenance of machine learning systems and services at Rokt.\nOptimise auction and decisioning logic, applying model predictions to maximise value across Rokt’s multi-sided marketplace\nConduct applied ML research, prototype new modeling approaches, and rigorously test innovations.\nEvaluate and improve model performance, ensuring robustness, scalability, and interpretability.\nTranslate complex business needs into practical ML solutions, collaborating with product and engineering teams.\nStay ahead of emerging ML trends, contributing to knowledge sharing through tech talks, brown bags, and best practice evangelism.\nLeadership\nAct as technical and project leader of a small team of specialists\nProvide leadership on complex technical issues,\nSet standards for technical excellence - from coding to architectural best practices.\nWork cross-functionally with engineering and product leadership to plan and manage delivery expectations of roadmap items.\nActively monitor progress and intervene where required to mitigate risks and bottlenecks, managing expectations within and outside the team.","company":"Mparticle","rawCompany":"mparticle","city":"Austin","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-08-03T22:20:40.836Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Staff Applied Scientist - Machine Learning","description":"Description\nRokt is an ecommerce technology company with the mission of making every transaction more relevant. The Rokt ecommerce Network leverages proprietary machine learning systems, powering billions of transactions for hundreds of millions of customers, and is trusted to do this by companies like Live Nation, Fanatics, Macy's, AMC Theatres, PayPal, Uber, Hulu, Staples, Albertsons and HelloFresh.\n\nThe Role: As a Staff Applied Scientist in the Rokt Brain team, you will lead applied research, experimentation, and model development projects - harnessing a diversity of ML theories, concepts, and models to improve complex systems powering 10 billion+ transactions per year.\n\nGrowth: pathways to Principal Applied Scientist (IC Track) and Applied Science Manager/Director (People Leader track) per your preferences and abilities.\n\nPay: Target total compensation ranges from $470k - $615k, comprised of a fixed annual salary of $290k - $360k, plus employee equity plan grant. In addition, you will receive world-class employee benefits.\n\nResponsibilities:\n\nTechnical\nOwn the research, design, development, testing, deployment and maintenance of machine learning systems and services at Rokt.\nOptimise auction and decisioning logic, applying model predictions to maximise value across Rokt’s multi-sided marketplace\nConduct applied ML research, prototype new modeling approaches, and rigorously test innovations.\nEvaluate and improve model performance, ensuring robustness, scalability, and interpretability.\nTranslate complex business needs into practical ML solutions, collaborating with product and engineering teams.\nStay ahead of emerging ML trends, contributing to knowledge sharing through tech talks, brown bags, and best practice evangelism.\nLeadership\nAct as technical and project leader of a small team of specialists\nProvide leadership on complex technical issues,\nSet standards for technical excellence - from coding to architectural best practices.\nWork cross-functionally with engineering and product leadership to plan and manage delivery expectations of roadmap items.\nActively monitor progress and intervene where required to mitigate risks and bottlenecks, managing expectations within and outside the team.","datePosted":"2026-08-03T22:20:40.836Z","dateModified":"2026-08-03T22:20:40.836Z","hiringOrganization":{"@type":"Organization","name":"Mparticle","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"b2a8d49ce115663d6c4a04be"},"url":"https://jobsearcher.com/jobs/b2a8d49ce115663d6c4a04be"}}