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Personal Recommendations through Deep Learning

Deep Learning Research Engineer

$140k – $170k • 0.0% – 1.0%
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Crossing Minds incubates artificial intelligence products and services, enriching the human experience using deep learning. Our first product, Hai, is a universal recommendation engine that maps taste across categories (music, movies, games, etc.) to help find more of what you love. Through our website, app, and messenger interaction, Hai syncs with other platforms to serve as a cultural home and launchpad for personal exploration.

Sponsored by Nvidia, GCP and Stanford’s StartX program, we’re looking for a deep learning expert to help our product understand tastes and help our growing team develop the heart of AI.

What you’ll do:
- Collaborate with our agile team of researchers and engineers.
- Design and implement efficient systems to understand users textual queries in real time.
- Elaborate algorithms to extract relevant informations from text reviews or descriptions.
- Elaborate algorithms to extract relevant informations from images data.

Who you are:
- You want to join a small team of hard-workers, to build an awesome product that’ll help everyone you know.
- You have a PhD in Deep Learning, with focus on Computer Vision and/or Natural Language Processing.
- You have strong knowledge on Computer Science, Computational Learning and HPC fundamentals: algorithms, systems, linear algebra, numerical methods, statistics.
- You have at least two years of experience in Theano, TensorFlow or PyTorch.
- You used CUDA on clusters of GPUs professionally.
- You are allowed to work in the US.

Meet your team

People you would work with in this role
Co founder - CEO @Crossing Minds Researcher Scholar @Stanford University

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