Machine Learning Engineer - Marketing Analytics

Remote, Marketing Analytics, Pricing, Promotions This Jobot Job is hosted by: Dylan Currier Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $120,000 - $140,000 per year A 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 space Fully remote work environment with flexible scheduling Competitive compensation and benefits package Collaborative and innovative team culture Job Details Candidates must be authorized to work in the United States without the need for sponsorship now or in the future We 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 Responsibilities Develop, 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 retention Collaborate with data engineers to build and optimize data pipelines for ML workflows Partner with product and business teams to translate requirements into scalable ML solutions Evaluate model performance and continuously iterate to improve accuracy and efficiency Contribute to best practices in ML engineering, including testing, monitoring, and documentation Required Qualifications 3–5 years of professional experience in machine learning, data science, or a related field Hands-on experience building and deploying machine learning models in production environments Strong background in consumer analytics, such as user behavior modeling, personalization, or recommendation systems Proficiency 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 principles Ability to communicate technical concepts clearly to both technical and non-technical stakeholders Preferred Qualifications Experience in the entertainment, media, or streaming industry Familiarity with cloud platforms (e.g., AWS, GCP, Azure) Knowledge of A/B testing frameworks and experimentation platforms Experience with MLOps tools and practices (CI/CD for ML, model monitoring, etc.) Interested in hearing more? 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