Startups · AI

AI Infrastructure Engineer

Spellbrush · San Francisco · On-site

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About Spellbrush

magic anime pictures. Backed by Y Combinator.

About the role

Spellbrush, the world’s leading generative AI studio behind niji・journey , is looking for an AI Infrastructure Engineer to join us in building out end-to-end ML infrastructure to run our models on all platforms. Design, implement and run our next-generation inference architecture for running all our models powering all platforms and applications (mobile, web, etc.).

What they're looking for

  • You have experience with large distributed systems
  • You have an excellent understanding of GPU’s handling large workloads
  • GPU workloads are different from traditional CPU workloads in very interesting ways. Experience deploying, or even optimizing them end-to-end, is a huge plus for this role
  • The anime aesthetic resonates with you
  • It's no secret – we're huge anime enthusiasts, and our work focuses on the anime aesthetic. Your work will enable millions of users to partake in an evolving creative movement
  • You're comfortable working on small, fast-paced teams
More about this role

Spellbrush, the world’s leading generative AI studio behind niji・journey , is looking for an AI Infrastructure Engineer to join us in building out end-to-end ML infrastructure to run our models on all platforms.

Design, implement and run our next-generation inference architecture for running all our models powering all platforms and applications (mobile, web, etc.).

Work alongside a fast-paced and nimble team developing the latest state-of-the-art image generation models serving over 16 million users

You have experience with large distributed systems

You have familiarity with the latest hotness like K8S, Kafka, NATS, Redis, etc. You’ve cut your teeth on both on-prem and multi-cloud clusters. But most importantly, you deeply understand the tradeoffs and the failure mode of each system you introduce (and potentially even have the battle scars to prove it!).

You have an excellent understanding of GPU’s handling large workloads

GPU workloads are different from traditional CPU workloads in very interesting ways. Experience deploying, or even optimizing them end-to-end, is a huge plus for this role

The anime aesthetic resonates with you.

It's no secret – we're huge anime enthusiasts,...

Read the full posting on Spellbrush's site ↗

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