Build ML models that push state-of-the-art either using Netflix’s unique multimodal dataset or algorithmic innovations or both; Design and implement state-of-the-art machine learning models for visual, audio and textual data to enhance content understanding and improve content production and promotion processes; Collaborate with cross-functional teams, including product managers, engineers and data scientists, to define problem statements, define roadmaps and execute on priorities; Communicate complex concepts and the results of analyses with both technical and non-technical stakeholders to influence strategic decisions
Requirements:
You have a strong foundation in machine learning and deep learning, including embedding methods, supervised and unsupervised learning, and deep learning architectures; Advanced degree (MS or PhD) in Computer Science, Electrical Engineering, or a related technical field with a focus on machine learning, artificial intelligence or computer vision; Strong programming skills in Python and experience with ML/DL frameworks such as Tensorflow, Keras or PyTorch
Text:
Machine Learning Scientist - Content & Media ML Foundations Build ML models that push state-of-the-art either using Netflix’s unique multimodal dataset or algorithmic innovations or both; Design and implement state-of-the-art machine learning models for visual, audio and textual data to enhance content understanding and improve content production and promotion processes; Collaborate with cross-functional teams, including product managers, engineers and data scientists, to define problem statements, define roadmaps and execute on priorities; Communicate complex concepts and the results of analyses with both technical and non-technical stakeholders to influence strategic decisions You have a strong foundation in machine learning and deep learning, including embedding methods, supervised and unsupervised learning, and deep learning architectures; Advanced degree (MS or PhD) in Computer Science, Electrical Engineering, or a related technical field with a focus on machine learning, artificial intelligence or computer vision; Strong programming skills in Python and experience with ML/DL frameworks such as Tensorflow, Keras or PyTorch
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