Staff Machine Learning Engineer
2 weeks ago
OVERVIEW OF THE COMPANYFox CorporationUnder the FOX banner, we produce and distribute content through some of the world’s leading and most valued brands, including: FOX News Media, FOX Sports, FOX Entertainment, FOX Television Stations and Tubi Media Group. We empower a diverse range of creators to imagine and develop culturally significant content, while building an organization that thrives on creative ideas, operational expertise and strategic thinking.JOB DESCRIPTIONAdRise is FOX's core ad tech platform, built to unify streaming and linear advertising across Tubi, FOX Sports, FOX News Media, and FOX Entertainment. Before AVOD became industry standard, AdRise helped power Tubi's growth from the ground up by developing real-time ad delivery and dynamic targeting infrastructure that scaled to serve millions. That same tech foundation is now fueling FOX's cross-portfolio monetization strategy.We are rebuilding the ad stack for video by optimizing server-side delivery, building ML-driven targeting systems, and enabling content-personalized ad experiences that respond to what viewers actually watch. From real-time decisioning to data collaboration with AWS and Snowflake, we are creating a smarter, more dynamic ad tech ecosystem. The problems are complex, the visibility is high, and the platform is built for impact. If you want to work at the center of streaming monetization on systems that touch billions of impressions and shape the next generation of personalized advertising, this is your platform.ABOUT THE ROLEAs a Staff ML Engineer at AdRise, you’ll play a hands-on leadership role in building and scaling our machine learning infrastructure. You’ll design real-time ML systems that power auction dynamics, yield optimization, identity resolution, and forecasting—all under strict latency constraints. Working alongside the Director of ML and a growing team, you’ll help shape the technical roadmap and bring new models to life in production environments at massive scale.A SNAPSHOT OF YOUR RESPONSIBILITIESDesign and deploy low-latency ML pipelines for real-time bidding and ad deliveryBuild scalable systems for forecasting, yield optimization, and media planningCollaborate with data engineering teams to integrate third-party data and behavioral signalsDrive experimentation through A/B testing and continuous model optimizationDefine architecture standards and tooling for MLOps, retraining workflows, and model monitoringMentor senior and junior engineers across ML engineering best practicesEvaluate third-party tools and platforms to inform build-vs-buy decisionsOwn performance metrics tied to business impact: eCPM, ROAS, fill rate, etc.WHAT YOU WILL NEED8+ years in ML or data engineering roles, with at least 2+ years in high-scale, real-time systemsProficiency in Python, TensorFlow/PyTorch, and production ML tooling (., Airflow, Spark, MLflow)Experience deploying ML systems with sub-100ms latency in adtech or streaming contextsStrong background in MLOps: retraining workflows, model versioning, pipeline orchestrationFamiliarity with AWS, Kubernetes, and CI/CD frameworksAbility to translate business goals into measurable model outcomesNICE TO HAVE, BUT NOT A DEALBREAKERPrior experience in adtech or AVOD platformsFamiliarity with identity resolution, lookalike modeling, and auction theoryExposure to tools like Snowflake, LiveRamp, or AWS Clean Rooms#Ll-KD1#Ll-HybridLearn more about Fox Tech at #foxtech
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