Machine Learning Engineer - Marketing Analytics

Remote, Marketing Analytics, Pricing, PromotionsThis Jobot Job is hosted by: Dylan CurrierAre you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.Salary: $120,000 - $140,000 per yearA bit about us:We are a globally recognized leader in the entertainment industry, delivering world-class content and experiences to millions of consumers across the globe. Our mission is to create meaningful connections between audiences and the stories, music, and moments they love.At the heart of our success is data. We leverage advanced analytics and machine learning to better understand our audiences, personalize experiences, and shape the future of entertainment. Our teams are made up of curious, driven individuals who are passionate about innovation and pushing the boundaries of what's possible.Why join us?Opportunity to work with a leading brand in the entertainment spaceFully remote work environment with flexible schedulingCompetitive Compensation And Benefits PackageCollaborative and innovative team cultureJob DetailsCandidates must be authorized to work in the United States without the need for sponsorship now or in the futureWe are seeking a mid-level Machine Learning Engineer to join a well-established and widely recognized company in the entertainment industry. In this role, you will help design, build, and deploy machine learning models that drive consumer insights, personalization, and data-driven decision-making across digital platforms. You'll collaborate with cross-functional teams including data science, product, and engineering to deliver impactful solutions at scale.Key ResponsibilitiesDevelop, deploy, and maintain machine learning models focused on consumer analytics (e.g., user behavior, segmentation, recommendation systems)Work with large-scale datasets to extract insights and improve customer engagement and retentionCollaborate with data engineers to build and optimize data pipelines for ML workflowsPartner with product and business teams to translate requirements into scalable ML solutionsEvaluate model performance and continuously iterate to improve accuracy and efficiencyContribute to best practices in ML engineering, including testing, monitoring, and documentationRequired Qualifications3-5 years of professional experience in machine learning, data science, or a related fieldHands-on experience building and deploying machine learning models in production environmentsStrong background in consumer analytics, such as user behavior modeling, personalization, or recommendation systemsProficiency in Python and common ML libraries (e.g., scikit-learn, TensorFlow, PyTorch)Experience working with large datasets and distributed systems (e.g., Spark, Hadoop, or similar)Solid understanding of data structures, algorithms, and software engineering principlesAbility to communicate technical concepts clearly to both technical and non-technical stakeholdersPreferred QualificationsExperience in the entertainment, media, or streaming industryFamiliarity with cloud platforms (e.g., AWS, Google Cloud Platform, Azure)Knowledge of A/B testing frameworks and experimentation platformsExperience with MLOps tools and practices (CI/CD for ML, model monitoring, etc.)Interested in hearing more? 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