{"schemaVersion":"jobsearcher.job.v1","id":"92c23820f16bf7477ed87a80","url":"https://jobsearcher.com/jobs/92c23820f16bf7477ed87a80","canonicalUrl":"https://jobsearcher.com/jobs/92c23820f16bf7477ed87a80","title":"Intern, Infrastructure","description":"The opportunity\r\nThis summer, you'll join Unity Vector — the team that builds the offline ML platform powering insight, experimentation, attribution, and AI-driven decision-making across the company.\r\nOur systems operate at scale across batch and streaming data, supporting analytics, product intelligence, machine learning pipelines, and business operations. As data volume and complexity grow, our platform enables large-scale model training, feature generation, and experimentation workflows that power production ML systems.\r\nAs an Infrastructure Intern on our Offline Infrastructure team, you'll work alongside experienced engineers and researchers on large-scale systems and apply research-driven thinking to real-world machine learning problems. You'll help build and evolve the infrastructure that powers training data generation, ML workflows, and distributed model training — contributing to systems that ensure our ML pipelines are reliable, scalable, and efficient. This internship offers the opportunity to bridge research and production by translating advanced ideas into systems that operate at scale.\r\nWhat you'll be doing\r\nBuild and maintain data pipelines that generate training datasets for machine learning models and experimentation.\r\nContribute to infrastructure that supports distributed training workflows (e.g., PyTorch, Ray).\r\nWork with workflow orchestration tools (e.g., Airflow, Flyte, or similar) to support multi-stage ML pipelines.\r\nImprove reproducibility and reliability through dataset validation, monitoring, and testing.\r\nPartner with ML engineers to support experimentation and model iteration.\r\nHelp optimize performance and efficiency across data processing and training systems.\r\nContribute to the evolution of our offline ML platform architecture as it scales.\r\nWhat we're looking for\r\nCurrently pursuing a degree in Computer Science, Machine Learning, Systems, or a related field (Bachelor's or Master's).\r\nFoundation in machine learning systems, distributed systems, or large-scale data processing (through coursework, research, or projects).\r\nExperience with Python and working with data-intensive workloads.\r\nFamiliarity with ML frameworks (e.g., PyTorch, TensorFlow) and/or distributed systems (e.g., Ray, Spark).\r\nStrong problem-solving skills and the ability to translate ideas into practical systems.\r\nInterest in building scalable, reliable infrastructure for machine learning.\r\nYou might also have\r\nExposure to data pipelines, model training workflows, or large datasets (academic or applied).\r\nExperience with workflow orchestration systems (Airflow, Flyte, etc.).\r\nExposure to large-scale data platforms (data lakes, warehouses, streaming systems).\r\nResearch or projects in ML systems, distributed systems, or related areas.\r\nAdditional information\r\nRelocation support is not available for this position.\r\nWork visa/immigration sponsorship is not available for this position.\r\nBenefits\r\nAt Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.\r\nPlease note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.\r\nComprehensive health, life, and disability insurance\r\nCommute subsidy\r\nEmployee stock ownership\r\nCompetitive retirement/pension plans\r\nGenerous vacation and personal days\r\nSupport for new parents through leave and family-care programs\r\nOffice food snacks\r\nMental health and wellbeing programs and support\r\nEmployee resource groups\r\nGlobal employee assistance program\r\nTraining and development programs\r\nVolunteering and donation matching program\r\nLife at Unity\r\nUnity [NYSE: U] is the world's leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.\r\nUnity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.\r\nThis position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.\r\n*Note: This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate's relevant experience, professional background, and skill set.\r\nJ-18808-Ljbffr","company":"Unity","rawCompany":"unity","city":"Mountain View","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-06-22T01:31:21.723Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Intern, Infrastructure","description":"The opportunity\r\nThis summer, you'll join Unity Vector — the team that builds the offline ML platform powering insight, experimentation, attribution, and AI-driven decision-making across the company.\r\nOur systems operate at scale across batch and streaming data, supporting analytics, product intelligence, machine learning pipelines, and business operations. As data volume and complexity grow, our platform enables large-scale model training, feature generation, and experimentation workflows that power production ML systems.\r\nAs an Infrastructure Intern on our Offline Infrastructure team, you'll work alongside experienced engineers and researchers on large-scale systems and apply research-driven thinking to real-world machine learning problems. You'll help build and evolve the infrastructure that powers training data generation, ML workflows, and distributed model training — contributing to systems that ensure our ML pipelines are reliable, scalable, and efficient. This internship offers the opportunity to bridge research and production by translating advanced ideas into systems that operate at scale.\r\nWhat you'll be doing\r\nBuild and maintain data pipelines that generate training datasets for machine learning models and experimentation.\r\nContribute to infrastructure that supports distributed training workflows (e.g., PyTorch, Ray).\r\nWork with workflow orchestration tools (e.g., Airflow, Flyte, or similar) to support multi-stage ML pipelines.\r\nImprove reproducibility and reliability through dataset validation, monitoring, and testing.\r\nPartner with ML engineers to support experimentation and model iteration.\r\nHelp optimize performance and efficiency across data processing and training systems.\r\nContribute to the evolution of our offline ML platform architecture as it scales.\r\nWhat we're looking for\r\nCurrently pursuing a degree in Computer Science, Machine Learning, Systems, or a related field (Bachelor's or Master's).\r\nFoundation in machine learning systems, distributed systems, or large-scale data processing (through coursework, research, or projects).\r\nExperience with Python and working with data-intensive workloads.\r\nFamiliarity with ML frameworks (e.g., PyTorch, TensorFlow) and/or distributed systems (e.g., Ray, Spark).\r\nStrong problem-solving skills and the ability to translate ideas into practical systems.\r\nInterest in building scalable, reliable infrastructure for machine learning.\r\nYou might also have\r\nExposure to data pipelines, model training workflows, or large datasets (academic or applied).\r\nExperience with workflow orchestration systems (Airflow, Flyte, etc.).\r\nExposure to large-scale data platforms (data lakes, warehouses, streaming systems).\r\nResearch or projects in ML systems, distributed systems, or related areas.\r\nAdditional information\r\nRelocation support is not available for this position.\r\nWork visa/immigration sponsorship is not available for this position.\r\nBenefits\r\nAt Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.\r\nPlease note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.\r\nComprehensive health, life, and disability insurance\r\nCommute subsidy\r\nEmployee stock ownership\r\nCompetitive retirement/pension plans\r\nGenerous vacation and personal days\r\nSupport for new parents through leave and family-care programs\r\nOffice food snacks\r\nMental health and wellbeing programs and support\r\nEmployee resource groups\r\nGlobal employee assistance program\r\nTraining and development programs\r\nVolunteering and donation matching program\r\nLife at Unity\r\nUnity [NYSE: U] is the world's leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.\r\nUnity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.\r\nThis position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.\r\n*Note: This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate's relevant experience, professional background, and skill set.\r\nJ-18808-Ljbffr","datePosted":"2026-06-22T01:31:21.723Z","dateModified":"2026-06-22T01:31:21.723Z","hiringOrganization":{"@type":"Organization","name":"Unity","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"92c23820f16bf7477ed87a80"},"url":"https://jobsearcher.com/jobs/92c23820f16bf7477ed87a80"}}