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Research Administrator 2
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Engineer - Analysis - Remote - San Francisco, CA, United States - Playground
Description
Full Time] ML Performance Engineer at Playground (United States) | BEAMSTART Jobs ML Performance EngineerFull Time
Remote Work
Stock Options
At Playground , we combine AI research and product design to invent new kinds of creative tools.
Over the next 10 years, we plan to create a powerful AI render pipeline that allows us to edit, create, and understand pixels to accomplish challenging tasks ranging from instructing an AI to make subtle changes to images, creating entire 3D environments, and understanding context of a scene in a video.
If you join us, you'll be an early team member in helping shape:Our engineering practices
We need help optimizing training runs to squeeze out the most GPU compute per dollar as well as speeding up inference for our models to keep costs low while providing users a fast experience in the product.
Work primarily in Python and PyTorchValue clear, frequent communication (we do a lot of reading & writing)
Uphold best practices in engineering, security, and design
Writing production worthy code is something you tend to avoid
Background in speeding up training runs, optimizing AI models to be faster at inference, etc.
~ Track record of optimization/performance related projects
~ Having a PhD is not important to us but a track record of building real things in production is
~4+ years of working full-time
Building an aesthetic classifier to predict aesthetically pleasing images by user ratings
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