Netflix is Hiring for ML Scientist and ML Engineer
Netflix, one of the world’s leading entertainment services, is offering new remote job openings for a machine learning scientist and a machine learning engineer. These roles, part of the Content & Media ML Foundations team, aim to enhance content intelligence, personalisation, and advertising through machine learning. The team builds foundational ML solutions embracing Netflix’s vast media data, driving advancements in multi-modal content understanding. They also explore generative AI for filmmaking and media intelligence to position Netflix at the forefront of AI-driven content creation and distribution. Netflix is on the hunt for an ML scientist to pioneer innovations in multimodal representation learning. The role involves building state-of-the-art ML models for visual, audio, and textual data, optimising performance and scalability using PyTorch and Netflix’s ML infrastructure, engaging with the ML research community, and influencing strategic decisions. Meanwhile, the company is also hiring an ML engineer to develop scalable ML pipelines powering content intelligence. Key responsibilities include optimising large-scale ML models for media understanding, automating ML workflows for faster experimentation and deployment, and enhancing observability and monitoring to ensure model reliability. Netflix seeks engineers with expertise in deep learning architectures, embedding methods, and distributed ML training. Candidates should have 5+ years of industry experience, particularly in NLP, audio, and video understanding. Netflix and AI During the Q3 2024 earnings interview, Netflix co-CEO Ted Sarandos, said, “AI needs to pass a crucial test. Actually, can it help make better shows and better films? That is the test and that’s what they have to figure out.” He emphasised that for AI to be truly impactful, it must contribute to the quality of storytelling rather than simply reducing production costs. Sarandos’ statement reinforces Netflix’s commitment to enhancing viewer experience and industry standards through technology. “Netflix is the best platform for premium stories because we’re the home to the best storytellers. We have an enormous reach–600 million watchers. We assume the financial risk when we’re making your content,” said Sarandos. That’s not all. Netflix is doubling down on AI, not just in film and TV but also in gaming. The company has onboarded Mike Verdu as the VP of GenAI for Games at Netflix.
These roles, part of the Content & Media ML Foundations team, aim to enhance content intelligence, personalisation, and advertising through machine learning.
The team builds foundational ML solutions embracing Netflix’s vast media data, driving advancements in multi-modal content understanding.
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["GenAI", "machine learning", "AI", "PyTorch", "ML", "Hiring", "netflix", "NLP", "Remote job", "Aim", "deep learning", "generative AI", "R", "AI (Artificial Intelligence)"]
["AI", "machine learning", "ML", "deep learning", "NLP", "generative AI", "GenAI", "Aim", "PyTorch", "R"]
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