Machine Learning Engineer, FOX Forward Deployed

Fox Corporation is a leading media company known for its diverse range of content across various platforms. They are seeking a Machine Learning Engineer to participate in a rotational program, contributing to production ML systems that support streaming, sports, and news operations.ResponsibilitiesRotate across two ML-focused teams embedded within operating business unitsBuild, train, evaluate, and deploy production machine learning modelsWork with large-scale, real-world datasets and live data streamsIntegrate models into consumer-facing and enterprise systemsMonitor performance, detect drift, and iterate based on measurable outcomesOperate under real constraints around latency, reliability, and scaleSkillsStrong foundations in machine learning, statistics, or applied data scienceExperience building and evaluating models through coursework, research, projects, internshipsProficiency in Python and common ML frameworksDemonstrated use of AI-assisted tools to accelerate ML workflowsAbility to explain how you validated model quality using metrics, bias checks, reproducibility controlsCuriosity about how models behave in production environmentsBias toward experimentation and measurable outcomesExperience deploying models into production systemsExposure to recommendation systems, ranking, or personalizationFamiliarity with data pipelines or distributed systemsBenefitsMedical/dental/vision, insuranceA 401(k) planPaid time offOther benefits in accordance with applicable plan documentsCompany OverviewUnder 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. It was founded in 1986, and is headquartered in New York, New York, USA, with a workforce of 5001-10000 employees. Its website is https://www.foxcorporation.com/.Company H1B SponsorshipFox Corporation has a track record of offering H1B sponsorships, with 1 in 2025, 1 in 2024, 1 in 2023, 2 in 2022. Please note that this does not guarantee sponsorship for this specific role.



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