Warner Bros. Discovery
Senior Machine Learning Engineer (San Francisco, CA)
Warner Bros. Discovery, San Francisco, California, United States, 94199
Qualifications
M.S or B.S. in a Computer Science/Statistics/Data Science/Quant or related field5+ years of building products with Machine Learning and PersonalizationStrong proficiency with ML-frameworks such as TensorFlow, PyTorch, JAX, Scikit-learn etcProduction experience implementing machine learning pipelines and models at scale in Python, Java, Scala, or similar languagesKnowledge in one or more of the areas such as Recommendations & Search, Causal Machine Learning, Interpretable ML, Multi-Armed Bandits, Reinforcement Learning, and Constrained OptimizationDemonstrated ability to lead technical decisionsExcellent written and verbal communication skills, with the ability to effectively advocate technical solutions to data scientists, engineers, and product manager audiencesPassion for data-driven research, development, and experimentationSelf-motivated, growth-oriented, and driven to pursue solutions to challenging problemsResponsibilities
Research, design, and build high-impact end-to-end machine learning systems for customer growthPartner with cross-functional teammates in Product, Design, Content, and Marketing to understand their problems and design solutionsLead the design of scalable ML solutions in productionPromote and role-model best practices of data science, engineering, and communication throughout the organizationEvangelize ML adoption and innovation across the product and engineering teamsFoster a diverse community of data scientists and ML engineersBenefits
Pay Range: $132,300.00 - $245,700.00 salary per yearOther rewards may include annual bonuses, short- and long-term incentives, and program-specific awardsDiscovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation
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M.S or B.S. in a Computer Science/Statistics/Data Science/Quant or related field5+ years of building products with Machine Learning and PersonalizationStrong proficiency with ML-frameworks such as TensorFlow, PyTorch, JAX, Scikit-learn etcProduction experience implementing machine learning pipelines and models at scale in Python, Java, Scala, or similar languagesKnowledge in one or more of the areas such as Recommendations & Search, Causal Machine Learning, Interpretable ML, Multi-Armed Bandits, Reinforcement Learning, and Constrained OptimizationDemonstrated ability to lead technical decisionsExcellent written and verbal communication skills, with the ability to effectively advocate technical solutions to data scientists, engineers, and product manager audiencesPassion for data-driven research, development, and experimentationSelf-motivated, growth-oriented, and driven to pursue solutions to challenging problemsResponsibilities
Research, design, and build high-impact end-to-end machine learning systems for customer growthPartner with cross-functional teammates in Product, Design, Content, and Marketing to understand their problems and design solutionsLead the design of scalable ML solutions in productionPromote and role-model best practices of data science, engineering, and communication throughout the organizationEvangelize ML adoption and innovation across the product and engineering teamsFoster a diverse community of data scientists and ML engineersBenefits
Pay Range: $132,300.00 - $245,700.00 salary per yearOther rewards may include annual bonuses, short- and long-term incentives, and program-specific awardsDiscovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation
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