{"schemaVersion":"jobsearcher.job.v1","id":"d7a12de2f6c7d26072f8116c","url":"https://jobsearcher.com/jobs/d7a12de2f6c7d26072f8116c","canonicalUrl":"https://jobsearcher.com/jobs/d7a12de2f6c7d26072f8116c","title":"Senior Machine Learning Systems Engineer (Ads Infrastructure)","description":"About Us\r\nMintegral is a leading programmatic and interactive mobile advertising platform, starting from the APAC region and radiating out globally. Powered by advanced AI technology, we provide global advertisers and developers with innovative, comprehensive experiences. With our efficient mobile marketing and monetization solutions, we help our clients exceed their marketing goals.As Mobvista’s self-developed programmatic platform, since Launched in 2015, Mintegral has quickly grown to become one of the largest mobile advertising platform in Asia. We offer a full stack of programmatic products and services including our Self-service Platform, DSP, SSP, Ad Exchange and DMP. We have also created the Mindworks Creative Studio, which offers publishers and brands cutting-edge creative solutions, from traditional creative right through to the latest interactive ad formats. For more information, please visit our website:https://www.mintegral.com/en/About the Role\r\nWe are seeking a Senior Machine Learning Systems Engineer to architect and scale next-generation advertising ranking and serving infrastructure.You will build large-scale real-time ML inference systems powering ad ranking, retrieval, and prediction across global traffic, focusing on distributed systems, ML infrastructure, and high-performance computing.Responsibilities\r\n1. Ads Serving System Architecture\r\nDesign end-to-end ads ranking and serving architectures for real-time bidding and recommendation systems\r\nBuild decoupled and disaggregated inference pipelines across CPU and GPU layers\r\nOptimize latency for high-QPS ad delivery systems2. ML Inference Optimization\r\nDevelop and optimize ML deployment pipelines for heterogeneous CPU/GPU environments\r\nImprove model freshness and inference performance\r\nEnable rapid iteration of ML models in production3. Distributed Systems & Embedding Infrastructure\r\nDesign large-scale embedding storage and retrieval systems\r\nBuild adaptive sharding strategies across heterogeneous hardware\r\nImprove load balancing and system stability4. Ads Ranking Performance Engineering\r\nOptimize QPS, latency, and throughput\r\nIdentify bottlenecks in inference pipelines\r\nImprove end-to-end ranking performance5. ML Compiler & Runtime Systems\r\nBuild AOT compilation frameworks for ML models\r\nTranslate models into optimized C++/CUDA/ROCm execution\r\nImprove inference efficiency across hardware backends6. Cross-functional Collaboration\r\nWork with engineers, and product teams\r\nProductionize ML models\r\nDefine scalability and reliability standardsRequired Qualifications\r\n4+ years in distributed systems or ML infrastructure\r\nExperience in ML serving or recommendation systems\r\nStrong distributed systems and performance optimization background\r\nExperience with CPU/GPU systems\r\nC++ / Python proficiency\r\nML frameworks experiencePreferred Qualifications\r\nAds tech or recommendation systems experience\r\nML compiler or inference runtime experience\r\nGPU optimization (CUDA/ROCm)\r\nHigh-scale system experience\r\nHigh-level ownership experienceImpact\r\nEnable large-scale real-time ads ranking\r\nImprove inference efficiency and cost\r\nAccelerate ML deployment cycles\r\nBuild foundational ads infrastructure","company":"Mintegral","rawCompany":"mintegral","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-24T01:13:10.820Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"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"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Machine Learning Systems Engineer (Ads Infrastructure)","description":"About Us\r\nMintegral is a leading programmatic and interactive mobile advertising platform, starting from the APAC region and radiating out globally. Powered by advanced AI technology, we provide global advertisers and developers with innovative, comprehensive experiences. With our efficient mobile marketing and monetization solutions, we help our clients exceed their marketing goals.As Mobvista’s self-developed programmatic platform, since Launched in 2015, Mintegral has quickly grown to become one of the largest mobile advertising platform in Asia. We offer a full stack of programmatic products and services including our Self-service Platform, DSP, SSP, Ad Exchange and DMP. We have also created the Mindworks Creative Studio, which offers publishers and brands cutting-edge creative solutions, from traditional creative right through to the latest interactive ad formats. For more information, please visit our website:https://www.mintegral.com/en/About the Role\r\nWe are seeking a Senior Machine Learning Systems Engineer to architect and scale next-generation advertising ranking and serving infrastructure.You will build large-scale real-time ML inference systems powering ad ranking, retrieval, and prediction across global traffic, focusing on distributed systems, ML infrastructure, and high-performance computing.Responsibilities\r\n1. Ads Serving System Architecture\r\nDesign end-to-end ads ranking and serving architectures for real-time bidding and recommendation systems\r\nBuild decoupled and disaggregated inference pipelines across CPU and GPU layers\r\nOptimize latency for high-QPS ad delivery systems2. ML Inference Optimization\r\nDevelop and optimize ML deployment pipelines for heterogeneous CPU/GPU environments\r\nImprove model freshness and inference performance\r\nEnable rapid iteration of ML models in production3. Distributed Systems & Embedding Infrastructure\r\nDesign large-scale embedding storage and retrieval systems\r\nBuild adaptive sharding strategies across heterogeneous hardware\r\nImprove load balancing and system stability4. Ads Ranking Performance Engineering\r\nOptimize QPS, latency, and throughput\r\nIdentify bottlenecks in inference pipelines\r\nImprove end-to-end ranking performance5. ML Compiler & Runtime Systems\r\nBuild AOT compilation frameworks for ML models\r\nTranslate models into optimized C++/CUDA/ROCm execution\r\nImprove inference efficiency across hardware backends6. Cross-functional Collaboration\r\nWork with engineers, and product teams\r\nProductionize ML models\r\nDefine scalability and reliability standardsRequired Qualifications\r\n4+ years in distributed systems or ML infrastructure\r\nExperience in ML serving or recommendation systems\r\nStrong distributed systems and performance optimization background\r\nExperience with CPU/GPU systems\r\nC++ / Python proficiency\r\nML frameworks experiencePreferred Qualifications\r\nAds tech or recommendation systems experience\r\nML compiler or inference runtime experience\r\nGPU optimization (CUDA/ROCm)\r\nHigh-scale system experience\r\nHigh-level ownership experienceImpact\r\nEnable large-scale real-time ads ranking\r\nImprove inference efficiency and cost\r\nAccelerate ML deployment cycles\r\nBuild foundational ads infrastructure","datePosted":"2026-04-24T01:13:10.820Z","dateModified":"2026-04-24T01:13:10.820Z","hiringOrganization":{"@type":"Organization","name":"Mintegral","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d7a12de2f6c7d26072f8116c"},"url":"https://jobsearcher.com/jobs/d7a12de2f6c7d26072f8116c"}}