{"schemaVersion":"jobsearcher.job.v1","id":"d97db04d43f9a7d26cc7182b","url":"https://jobsearcher.com/jobs/d97db04d43f9a7d26cc7182b","canonicalUrl":"https://jobsearcher.com/jobs/d97db04d43f9a7d26cc7182b","title":"Artificial Intelligence Engineer","description":"Location - Menlo Park, CA ( Onsite DAY1 ) 4 days WFOAI Engineer with 6–10 years of experience designing and deploying scalable AI/ML solutions for AdTech platforms covering targeting, bidding, personalization, attribution, and real-time analytics.The role requires strong engineering fundamentals with hands-on ML model development, data pipelines, and real-time decision systems, leveraging modern distributed and cloud-based architectures.Key ResponsibilitiesDevelop and deploy AI/ML models for:Audience targeting & segmentationAd ranking & bidding optimizationAttribution & campaign performance modellingFraud detection & anomaly detectionBuild and optimize end-to-end ML pipelines:Data ingestion, feature engineering, training, and inferenceBatch & real-time model servingDesign real-time decisioning systems for high-throughput, low-latency environments.Collaborate with data engineers and architects to ensure:Scalable data pipelines (ETL/ELT, streaming)High-quality feature stores and model lifecycle managementDrive experimentation frameworks (A/B testing, causal inference) to continuously optimize performance metrics.Ensure privacy-aware and compliant AI solutions aligned with data governance frameworks.Required QualificationsBachelor's/Master's in Computer Science, Data Science, AI/ML, or related field.6–10 years of experience in AI/ML engineering / Data Science engineering roles.Strong programming skills in:Python (mandatory)Java or C++ (preferred)Hands-on experience in:ML frameworks (TensorFlow, PyTorch, XGBoost)Distributed processing (Spark, Flink)Streaming systems (Kafka)SQL & NoSQL databasesExperience building production-grade ML pipelines and scalable data systemsPreferred QualificationsExperience in AdTech / MarTech / Retail Media ecosystemsExposure to:Recommendation systemsReal-time bidding systemsExperimentation platforms / A/B testingFamiliarity with:Kubernetes, Docker, microservicesPrivacy and regulatory frameworks (GDPR, data compliance)","company":"Programmers.io","rawCompany":"programmersio","city":"Edison","state":"NJ","isRemote":false,"isActive":false,"createdAt":"2026-06-13T23:50:46.744Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"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":"Artificial Intelligence Engineer","description":"Location - Menlo Park, CA ( Onsite DAY1 ) 4 days WFOAI Engineer with 6–10 years of experience designing and deploying scalable AI/ML solutions for AdTech platforms covering targeting, bidding, personalization, attribution, and real-time analytics.The role requires strong engineering fundamentals with hands-on ML model development, data pipelines, and real-time decision systems, leveraging modern distributed and cloud-based architectures.Key ResponsibilitiesDevelop and deploy AI/ML models for:Audience targeting & segmentationAd ranking & bidding optimizationAttribution & campaign performance modellingFraud detection & anomaly detectionBuild and optimize end-to-end ML pipelines:Data ingestion, feature engineering, training, and inferenceBatch & real-time model servingDesign real-time decisioning systems for high-throughput, low-latency environments.Collaborate with data engineers and architects to ensure:Scalable data pipelines (ETL/ELT, streaming)High-quality feature stores and model lifecycle managementDrive experimentation frameworks (A/B testing, causal inference) to continuously optimize performance metrics.Ensure privacy-aware and compliant AI solutions aligned with data governance frameworks.Required QualificationsBachelor's/Master's in Computer Science, Data Science, AI/ML, or related field.6–10 years of experience in AI/ML engineering / Data Science engineering roles.Strong programming skills in:Python (mandatory)Java or C++ (preferred)Hands-on experience in:ML frameworks (TensorFlow, PyTorch, XGBoost)Distributed processing (Spark, Flink)Streaming systems (Kafka)SQL & NoSQL databasesExperience building production-grade ML pipelines and scalable data systemsPreferred QualificationsExperience in AdTech / MarTech / Retail Media ecosystemsExposure to:Recommendation systemsReal-time bidding systemsExperimentation platforms / A/B testingFamiliarity with:Kubernetes, Docker, microservicesPrivacy and regulatory frameworks (GDPR, data compliance)","datePosted":"2026-06-13T23:50:46.744Z","dateModified":"2026-06-13T23:50:46.744Z","hiringOrganization":{"@type":"Organization","name":"Programmers.io","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Edison","addressRegion":"NJ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d97db04d43f9a7d26cc7182b"},"url":"https://jobsearcher.com/jobs/d97db04d43f9a7d26cc7182b"}}