{"schemaVersion":"jobsearcher.job.v1","id":"385a5ec9fffedbc56bc1f111","url":"https://jobsearcher.com/jobs/385a5ec9fffedbc56bc1f111","canonicalUrl":"https://jobsearcher.com/jobs/385a5ec9fffedbc56bc1f111","title":"Senior Machine Learning Engineer","description":"Senior Machine Learning & Data Platform EngineerAI, & Real Time Systems$170,000 - $200,000 base + bonus + equityRemote - Work from anywhere (US Based Preferred) We're partnering with a fast-growing, AI-driven company building real-time ad infrastructure and personalized commerce platforms. This isn't a website - it's core systems powering automated, high-performance advertising for major brands and retailers.As they continue to scale, machine learning is becoming a core part of their growth strategy, and they're looking for a Senior Machine Learning & Data Platform Engineer to build the production-grade ML infrastructure that powers intelligent decision-making across the entire platform.This isn't a research-focused role. It's an opportunity to build and scale machine learning systems that directly influence millions of advertising and commerce decisions every day.What you'd be working on:Building and scaling the machine learning platform that powers optimisation, personalisation, and decision-making across the businessDeveloping production ML models focused on CTR prediction, conversion prediction, recommendation systems, dynamic bidding, and performance optimisationCreating scalable feature engineering pipelines and automated MLOps workflows for training, deployment, monitoring, and retrainingAnalysing large-scale commerce and advertising datasets to improve model performance and business outcomesDesigning and running A/B tests and experiments to validate model effectivenessBuilding low-latency APIs and real-time prediction services at scalePartnering with Product, Engineering, and Data teams to embed machine learning into core platform capabilitiesWhat they're looking for:5+ years building production machine learning systems, data platforms, or large-scale analytics infrastructureStrong Python and SQL skillsExperience deploying ML models into production environmentsHands-on experience with TensorFlow, PyTorch, scikit-learn, XGBoost, or similar frameworksExperience with feature engineering, large-scale datasets, and distributed technologies such as Spark, Databricks, or KafkaStrong understanding of MLOps, experimentation, predictive modelling, and recommendation systemsFamiliarity with cloud-native infrastructure, Kubernetes, containers, and scalable APIsNice to have:Experience within AdTech, Retail Media, E-commerce, or recommendation enginesExperience working with metrics such as CTR, CPC, CPA, and ROASExposure to feature stores, MLflow, vector databases, or real-time inference systemsExperience with personalisation, ranking models, reinforcement learning, or dynamic pricingCompensation:$170,000 - $200,000 base salaryBonusEquity/stock optionsInterview Process:Introductory conversation with the FounderTechnical interview with Engineering leadershipTake-home exercise followed by a collaborative discussion focused on your approach, architecture decisions, and problem-solving process","company":"Uneek Global","rawCompany":"uneek global","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-10-07T03:21:19.389Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Machine Learning Engineer","description":"Senior Machine Learning & Data Platform EngineerAI, & Real Time Systems$170,000 - $200,000 base + bonus + equityRemote - Work from anywhere (US Based Preferred) We're partnering with a fast-growing, AI-driven company building real-time ad infrastructure and personalized commerce platforms. This isn't a website - it's core systems powering automated, high-performance advertising for major brands and retailers.As they continue to scale, machine learning is becoming a core part of their growth strategy, and they're looking for a Senior Machine Learning & Data Platform Engineer to build the production-grade ML infrastructure that powers intelligent decision-making across the entire platform.This isn't a research-focused role. It's an opportunity to build and scale machine learning systems that directly influence millions of advertising and commerce decisions every day.What you'd be working on:Building and scaling the machine learning platform that powers optimisation, personalisation, and decision-making across the businessDeveloping production ML models focused on CTR prediction, conversion prediction, recommendation systems, dynamic bidding, and performance optimisationCreating scalable feature engineering pipelines and automated MLOps workflows for training, deployment, monitoring, and retrainingAnalysing large-scale commerce and advertising datasets to improve model performance and business outcomesDesigning and running A/B tests and experiments to validate model effectivenessBuilding low-latency APIs and real-time prediction services at scalePartnering with Product, Engineering, and Data teams to embed machine learning into core platform capabilitiesWhat they're looking for:5+ years building production machine learning systems, data platforms, or large-scale analytics infrastructureStrong Python and SQL skillsExperience deploying ML models into production environmentsHands-on experience with TensorFlow, PyTorch, scikit-learn, XGBoost, or similar frameworksExperience with feature engineering, large-scale datasets, and distributed technologies such as Spark, Databricks, or KafkaStrong understanding of MLOps, experimentation, predictive modelling, and recommendation systemsFamiliarity with cloud-native infrastructure, Kubernetes, containers, and scalable APIsNice to have:Experience within AdTech, Retail Media, E-commerce, or recommendation enginesExperience working with metrics such as CTR, CPC, CPA, and ROASExposure to feature stores, MLflow, vector databases, or real-time inference systemsExperience with personalisation, ranking models, reinforcement learning, or dynamic pricingCompensation:$170,000 - $200,000 base salaryBonusEquity/stock optionsInterview Process:Introductory conversation with the FounderTechnical interview with Engineering leadershipTake-home exercise followed by a collaborative discussion focused on your approach, architecture decisions, and problem-solving process","datePosted":"2026-10-07T03:21:19.389Z","dateModified":"2026-10-07T03:21:19.389Z","hiringOrganization":{"@type":"Organization","name":"Uneek Global","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"385a5ec9fffedbc56bc1f111"},"url":"https://jobsearcher.com/jobs/385a5ec9fffedbc56bc1f111"}}