{"schemaVersion":"jobsearcher.job.v1","id":"4f82f46dc1eb18ed3a600b61","url":"https://jobsearcher.com/jobs/4f82f46dc1eb18ed3a600b61","canonicalUrl":"https://jobsearcher.com/jobs/4f82f46dc1eb18ed3a600b61","title":"Senior Machine Learning Engineer","description":"Who are we?\nTripledot Studios is one of the largest independent mobile games companies in the world.\nWe are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios.\nOur expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users.\nTripledot’s guiding principle is that when people love what they do, what they do will be loved by others.\nWe’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games.\nOur ambition is to be the most successful games company in the world, and we’re just getting started.\nThe role is working within our AI group\nThe group AI team is a central function that works both with other central groups like marketing and game solutions and the game studios which are part of Tripledot. Within the group AI team, you’ll be working with other AI/ ML Eng, Data engineers, analysts and product owners.\nRole Overview\nWithin the various studios and other central teams, you will interact with data, engineering, and product teams. The role will be directly contributing to main games KPIs such as retention, revenue, player experience, as well as to company efficiency and time to market in developing games and features. Progression opportunities will be within the AI group or to studios in the group.\nKey Responsibilities\nImplement cutting-edge ML algorithms for personalization in gaming, staying abreast of the latest advancements in the field, and testing to see what works best for our games and data.\nDesigning experiments and prototypes to test the viability and efficiency of new AI models.\nTranslate research findings into real-world applications by creating algorithm prototypes in our codebase.\nConvert prototypes into production level code that can be easily managed and deployed through the ML Lifecycle.\nDesign, develop, and evaluate A/B tests to measure the effectiveness of personalisation algorithms and optimise player experience.\nContinuously monitor and analyse player data to identify new opportunities for personalisation and improve existing algorithms.\nDocument your work clearly and concisely, fostering knowledge sharing within the team.\nWhat we’re looking for\nA Bachelor's degree or higher in a quantitative field (e.g., computer science, mathematics, statistics), another quantitative applied field or equivalent experience.\nStrong understanding of industry standard ML techniques (from classification to reinforcement learning and generative methods)\nExperience in applying machine learning algorithms to solve real-world problems.\nExperience with software development concepts like CI/CD, Version Control, Containers (Docker & Kubernetes) and proven track record of deploying ML models to production and established MLOps concepts.\nA good command of analytical programming and visualisation languages and libraries (SQL, python, matplotlib, etc.) as well as some of the supporting tools and platforms (e.g. git, MLFlow, Kubernetes, Kubeflow, Trino, AirFlow).\nA strong understanding of statistical concepts (hypothesis testing, sampling, probability distributions).\nExcellent communication and collaboration skills to effectively bridge the gap between technical and non-technical teams.\nExperience with using generative AI copilots or agents in daily development work.\nA passion for mobile gaming and a strong desire to create engaging player experiences and drive business results.\nBonus points if you also have:\nExperience with more complex ML techniques (e.g. Reinforcement Learning).\nExperience with A/B testing methodologies in an online gaming context.\nExperience working in the games industry.\nWorking at Tripledot\nTime Off: Statutory Time Off policy for location in addition to bank holidays to relax and refresh throughout the year.\nHealth & Wellness: Based on country requirements. Private Healthcare or Healthcare stipend subject to eligibility.\nContinuous Professional Development: Propel your career with continuous opportunities for professional development.","company":"Tripledot Studios","rawCompany":"tripledot studios","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-08-04T00:14:54.251Z","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":"Senior Machine Learning Engineer","description":"Who are we?\nTripledot Studios is one of the largest independent mobile games companies in the world.\nWe are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios.\nOur expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users.\nTripledot’s guiding principle is that when people love what they do, what they do will be loved by others.\nWe’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games.\nOur ambition is to be the most successful games company in the world, and we’re just getting started.\nThe role is working within our AI group\nThe group AI team is a central function that works both with other central groups like marketing and game solutions and the game studios which are part of Tripledot. Within the group AI team, you’ll be working with other AI/ ML Eng, Data engineers, analysts and product owners.\nRole Overview\nWithin the various studios and other central teams, you will interact with data, engineering, and product teams. The role will be directly contributing to main games KPIs such as retention, revenue, player experience, as well as to company efficiency and time to market in developing games and features. Progression opportunities will be within the AI group or to studios in the group.\nKey Responsibilities\nImplement cutting-edge ML algorithms for personalization in gaming, staying abreast of the latest advancements in the field, and testing to see what works best for our games and data.\nDesigning experiments and prototypes to test the viability and efficiency of new AI models.\nTranslate research findings into real-world applications by creating algorithm prototypes in our codebase.\nConvert prototypes into production level code that can be easily managed and deployed through the ML Lifecycle.\nDesign, develop, and evaluate A/B tests to measure the effectiveness of personalisation algorithms and optimise player experience.\nContinuously monitor and analyse player data to identify new opportunities for personalisation and improve existing algorithms.\nDocument your work clearly and concisely, fostering knowledge sharing within the team.\nWhat we’re looking for\nA Bachelor's degree or higher in a quantitative field (e.g., computer science, mathematics, statistics), another quantitative applied field or equivalent experience.\nStrong understanding of industry standard ML techniques (from classification to reinforcement learning and generative methods)\nExperience in applying machine learning algorithms to solve real-world problems.\nExperience with software development concepts like CI/CD, Version Control, Containers (Docker & Kubernetes) and proven track record of deploying ML models to production and established MLOps concepts.\nA good command of analytical programming and visualisation languages and libraries (SQL, python, matplotlib, etc.) as well as some of the supporting tools and platforms (e.g. git, MLFlow, Kubernetes, Kubeflow, Trino, AirFlow).\nA strong understanding of statistical concepts (hypothesis testing, sampling, probability distributions).\nExcellent communication and collaboration skills to effectively bridge the gap between technical and non-technical teams.\nExperience with using generative AI copilots or agents in daily development work.\nA passion for mobile gaming and a strong desire to create engaging player experiences and drive business results.\nBonus points if you also have:\nExperience with more complex ML techniques (e.g. Reinforcement Learning).\nExperience with A/B testing methodologies in an online gaming context.\nExperience working in the games industry.\nWorking at Tripledot\nTime Off: Statutory Time Off policy for location in addition to bank holidays to relax and refresh throughout the year.\nHealth & Wellness: Based on country requirements. Private Healthcare or Healthcare stipend subject to eligibility.\nContinuous Professional Development: Propel your career with continuous opportunities for professional development.","datePosted":"2026-08-04T00:14:54.251Z","dateModified":"2026-08-04T00:14:54.251Z","hiringOrganization":{"@type":"Organization","name":"Tripledot Studios","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"4f82f46dc1eb18ed3a600b61"},"url":"https://jobsearcher.com/jobs/4f82f46dc1eb18ed3a600b61"}}