Senior Research Engineer, Search and Recommendations (Games) at Netflix in Los Gatos, CA
With their existing Netflix subscription, members can play any game on our service - no ads, no additional fees, and no in-app purchases! Members can watch videos and play games as much as they want, anytime, anywhere, on any capable device. This creates exciting new frontiers of personalization and discovery to help our members find the content they'll enjoy the most at a given moment. In particular, through how members can interactively explore and discover games within Netflix - be it through search, voice, or UI. We are looking for an exceptional research engineer to develop the technology to power the search and recommendations experiences for games. Innovation on those experiences requires a great blend of creative thinking and applied research at the intersection of Machine Learning, Information Retrieval, Knowledge Graphs and Natural Language Understanding, as well as Human-Computer Interactions. In this role, you will conduct applied research by conceptualizing, designing, implementing, and validating potential algorithmic and system improvements. This includes adapting machine learning algorithms, running offline experiments, and building online A/B tests to run in production systems. To be successful in this role, you need solid software development skills, experience in building large scale machine learning enabled systems, strong machine learning knowledge, a love of learning, a passion for solving end-user problems and to collaborate well in fast paced, multi-disciplinary teams. You will need to exhibit strong communication and leadership skills, an ability to set priorities, and an execution focus in a dynamic environment. What we are looking for:
5
years of ML engineering experience with a track record of delivering quality results. Expertise in machine learning. Experience in successfully applying machine learning to real-world problems. Strong mathematical skills with knowledge of statistical methods. Strong software development experience in languages such as Scala, Java, and Python. Great interpersonal skills. Strong communication skills - written and verbal. PhD or MS in Computer Science, Statistics, or related field. Preferred, but not required, additional areas of
Experience:
Experience as a technical leader. Experience working with cross functional teams. Experience in Search, Recommendations, and Personalization. Experience with Spark, TensorFlow, Keras, and PyTorch. Experience with cloud computing platforms and large web-scale distributed systems. Experience in applied research in industrial settings. Open source contributions.
Salary Range:
$100K -- $150K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
5
years of ML engineering experience with a track record of delivering quality results. Expertise in machine learning. Experience in successfully applying machine learning to real-world problems. Strong mathematical skills with knowledge of statistical methods. Strong software development experience in languages such as Scala, Java, and Python. Great interpersonal skills. Strong communication skills - written and verbal. PhD or MS in Computer Science, Statistics, or related field. Preferred, but not required, additional areas of
Experience:
Experience as a technical leader. Experience working with cross functional teams. Experience in Search, Recommendations, and Personalization. Experience with Spark, TensorFlow, Keras, and PyTorch. Experience with cloud computing platforms and large web-scale distributed systems. Experience in applied research in industrial settings. Open source contributions.
Salary Range:
$100K -- $150K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
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