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About the role
We are looking for a Research Scientist specializing in embeddings and representation learning to investigate how we can enhance content understanding capability in Netflix's foundation models. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Ph.D. in Computer Science or a related field with a strong publication record in embeddings, representation learning, or a closely related domain
- 3+ years of research experience with a track record of delivering quality results
- Deep expertise in machine learning, including practical experience with LLMs and/or foundation models
- Strong software engineering skills in Python (eg, PyTorch /)
- Excellent communication and collaboration skills
More about this role
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.
The Content Representation Models team creates a single, unified "language" for Netflix's entire library by developing foundation models that understand everything from video and audio to text and artwork at a semantic level. By treating these powerful embeddings as a core product, we give Netflix the ability to match the right content to the right member, supercharging personalization and helping everyone discover something they'll love.
Unified Content Embedding: Merging media-based and metadata-based embedding approaches into a single cohesive model, creating rich semantic representations of all content across video, audio, and text modalities
Multimodal and Multi-Granularity Embeddings: Creating embeddings from various content types at different levels of detail, from entire shows down to individual shots...
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