[Remote] Machine Learning Engineer, Ads Personalization

Remote Full-time
Note: The job is a remote job and is open to candidates in USA. Paramount is a company on a mission to entertain the planet, and they are seeking a Machine Learning Engineer to join the PlutoTV pod. The role focuses on channel, guide, and schedule personalization to enhance the FAST viewing experience through data-driven models and features.ResponsibilitiesFeature Development: Design and deploy ML components for channel ranking and guide personalizationFAST Metadata Integration: Work with linear scheduling data to create features that account for "Current" vs "Next" program relevanceVector-Based Similarity: Use Qdrantto group similar channels and content to improve the "More Like This" experience within the guideModel Refinement: Train and iterate on models using TensorFlow/PyTorch, focusing on session-start and watch-time metricsIndependent Execution: Own the delivery of defined tasks within the PlutoTV roadmap, from data exploration to production deploymentSkillsMinimum: 3+ years in MLEProficiency in Python/SQLExperience with TensorFlow/PyTorchExperience with GCPKnowledge with FAST or Broadcast TV data structuresExperience with Qdrant or similar vector databasesBenefitsMedicalDentalVision401(k) planLife insurance coverageDisability benefitsTuition assistance programPTOBonus eligibleGenerous paid time offOpportunities for both on-site and virtual engagement eventsUnique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplaceCompany OverviewParamount is a leading media and entertainment company that creates premium content and experiences for audiences worldwide. It was founded in 1914, and is headquartered in New York, New York, USA, with a workforce of 10001+ employees. Its website is https://www.paramount.com.Company H1B SponsorshipParamount has a track record of offering H1B sponsorships, with 2 in 2024. Please note that this does not guarantee sponsorship for this specific role.

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