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Netflix • USA - Remote
Netflix is hiring a Senior Machine Learning Scientist to develop innovative ad personalization algorithms. You'll work with machine learning models and optimization techniques to enhance user experiences and drive advertiser results. This role requires expertise in data-driven decision-making and algorithm design.
You have a strong background in machine learning and optimization, with at least 5 years of experience in developing algorithms that solve complex business problems. Your expertise includes formulating multi-objective optimization problems and designing scalable solutions that balance competing objectives such as revenue and user satisfaction. You are skilled in integrating machine learning model predictions with optimization formulations, ensuring that decision-making processes are personalized and effective.
You are proficient in A/B testing methodologies and have a track record of monitoring performance for optimization-driven features. Your analytical skills allow you to translate complex model outputs into actionable metrics that drive business results. You are passionate about leveraging data to enhance user experiences and improve advertising effectiveness.
Experience in the ad tech ecosystem is a plus, as is familiarity with the entertainment industry. You are comfortable working in a collaborative environment and enjoy engaging with cross-functional teams to achieve shared goals. Your ability to communicate complex concepts clearly and effectively is essential for success in this role.
As a Senior Machine Learning Scientist at Netflix, you will be at the forefront of developing algorithms that power ad personalization. You will formulate complex business problems related to budget allocation and marketplace matching, transforming them into optimization challenges that can be tackled with innovative solutions. Your role will involve designing and implementing scalable optimization algorithms that enhance the effectiveness of our ad tech ecosystem.
You will integrate machine learning model predictions with optimization formulations, ensuring that our decision-making processes are data-driven and personalized. A significant part of your responsibilities will include conducting A/B tests to evaluate the performance of optimization-driven features, allowing you to iterate and improve upon existing solutions.
You will work closely with other teams to translate complex model outputs into actionable metrics, providing insights that inform strategic decisions. Your contributions will directly impact the quality of ad experiences for our members and the effectiveness of our advertising strategies.
At Netflix, we value diversity and inclusion, and we are committed to creating an environment where everyone can thrive. You will have the opportunity to work with a talented team of professionals who are passionate about leveraging technology to enhance user experiences. We offer competitive compensation and benefits, along with the flexibility to work remotely.
Join us in shaping the future of entertainment and advertising at Netflix. Your work will have a direct impact on how we connect with our members and advertisers, making this a unique opportunity to contribute to a leading global brand.
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