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Tier-1 brand and metro location increase applicant density, but senior specialization limits competition.
Specialized ML, personalization, and production pipelines require deep expertise, limiting transferability.
Explicit 9+ years, deep ML frameworks, and leadership requirements make filters strict.
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Design, research, and build end-to-end machine learning systems focused on customer growth and engagement for the Max streaming platform.
Lead and coordinate applied scientists and ML engineers, providing mentorship and technical guidance while aligning complex technical decisions across teams.
Standardize and promote best practices in data science and AI-assisted tools to boost team productivity and code quality.
Bachelor's or Master's degree in Computer Science, Statistics, Data Science, Quant or related field.
9+ years of experience building products with machine learning and personalization.
Expertise in ML frameworks such as TensorFlow, PyTorch, XGBoost, Scikit-learn and production experience with ML pipelines at scale using Python, Java, Scala, or similar languages.
Deep knowledge of multiple ML methodologies including Recommendations & Search, Causal ML, Interpretable ML, Multi-Armed Bandits, Reinforcement Learning, and Constrained Optimization.
Experienced leader capable of mentoring and coordinating cross-functional teams, including non-technical stakeholders, and managing competing priorities.
Strong research orientation with ability to navigate and apply ML research to industry problems and contribute to the research community.
Strategic thinker focused on scalable, production-ready ML solutions that directly impact customer growth and retention metrics.