Preferred Networks is an AI company based in Tokyo working across the stack, from AI chips and computing infrastructure to LLMs and products. You may already know us indirectly if you've used software we've built, such as Optuna or CuPy (or Chainer, back in the day).
We are designing in-house chips (MN-Core series: https://mn-core.com/) and training LLMs (PLaMo series: https://huggingface.co/pfnet), and our team is actively hiring for two roles related to these endeavors:
- MN-Core LLM Serving Engine Engineer: Build software infrastructure to serve LLMs using our upcoming inference accelerator, MN-Core L1000. [Apply here: https://open.talentio.com/r/1/c/preferred/pages/121580]
- LLM Inference Optimization Engineer: Improve the inference engine powering our API service and maintain PLaMo implementations in open source projects such as vLLM. [Apply here: https://open.talentio.com/r/1/c/preferred/pages/119173]
Both roles require relocation to Japan. We are happy to provide visa and relocation support.
50 million seed round -- Obvious Ventures and Emergence capital
Radical Numerics is an AI research lab building general biological intelligence — applying distributed systems, model architecture, and numerics research to biology. We built Evo and Evo 2, the generative genomics models behind the first AI-designed gene-editing tools and the first whole genome designed entirely by AI (published in Science and Nature). We're now building Omnii, our next-generation genome language model, and the infrastructure to scale it. Advisors include Eric Horvitz (CSO, Microsoft), Chris Ré (Stanford), and George Church (Harvard).
16 open roles, all onsite in San Francisco (several also open in Tokyo):
Full list: https://jobs.ashbyhq.com/radical-numerics
I'm on the team and happy to answer questions here or by email — heather@radicalnumerics.ai