Senior Machine Learning Engineer at Tubi designing and implementing algorithms for personalized user experiences in streaming. Collaborating with cross-functional teams to enhance machine learning-driven solutions.
Responsibilities
Design, develop, and implement recommendation systems and algorithms for a global audience
Conduct deep dives into algorithmic components and systems, ensuring that models are optimized for both performance and scalability across multiple regions and product areas
Build and deploy high-impact robust ML pipelines, including data extraction, feature development, model training, testing, and deployment
Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring they meet business goals and provide high-quality user experiences
Work closely with Product, Engineering, and Data Science teams to align on product requirements, set expectations, and deliver machine learning-driven solutions that improve user engagement
Requirements
3+ years of industry experience building production Machine Learning systems
BS, MSc, or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field
Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks
Proficiency in building and deploying full-stack machine learning pipelines: data extraction, data mining, model training, feature development, testing, and deployment
Solid understanding of statistical concepts such as hypothesis testing, regression analysis, and performance evaluation metrics for machine learning
Ability to deep dive into individual components and systems, as well as understand the overall architecture of machine learning solutions.
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