Netflix, a leading global entertainment service, recently announced open remote positions for Machine Learning Scientists and Machine Learning Engineers. These roles are within the Content & Media Machine Learning Foundations team, aiming to enhance content intelligence, personalization, and advertising effectiveness through machine learning.
This team focuses on building foundational machine learning solutions, leveraging Netflix's extensive media data to advance multi-modal content understanding. Furthermore, the team will explore the application of generative AI in film production and media intelligence, pushing Netflix to the forefront of AI-driven content creation and distribution.
Netflix is seeking a Machine Learning Scientist to innovate in multi-modal representation learning. Key responsibilities include building advanced machine learning models for visual, audio, and textual data, optimizing model performance and scalability using PyTorch and Netflix's machine learning infrastructure, and engaging with the machine learning research community to influence company strategy.
Concurrently, the company is hiring a Machine Learning Engineer to develop scalable machine learning pipelines supporting content intelligence. Core responsibilities include optimizing large-scale machine learning models to improve media understanding, automating machine learning workflows to accelerate experimentation and deployment, and enhancing observability and monitoring to ensure model reliability.
Netflix hopes to find engineers with expertise in deep learning architectures, embedding methods, and distributed machine learning training. Candidates should have 5+ years of industry experience, particularly in natural language processing, audio, and video understanding.
During the Q3 2024 earnings call, Netflix co-CEO Ted Sarandos stated, "AI needs to pass a key test. Can it help make better shows and movies? That's the question that has to be answered." He emphasized that for AI to truly make an impact, it must contribute to the quality of storytelling, not just reduce production costs.
Sarandos' statement reiterates Netflix's commitment to enhancing viewer experience and industry standards through technology. Simultaneously, Netflix is increasing its AI investment in film, television, and gaming. The company recently appointed Mike Verdu as Vice President of Generative AI for Games to further this strategy.
Key Highlights:
🌟 Netflix is hiring Machine Learning Scientists and Engineers to enhance content intelligence.
🧠 The team focuses on multi-modal content understanding and the application of generative AI in film production.
🎮 Netflix is expanding AI applications into gaming, appointing a new VP to oversee this area.