Radical Numerics is an AI research lab building general biological intelligence. We're bringing the rigor of distributed systems, model architecture, and numerics research to biology. Our team created Evo and helped start the field of generative genomics — our work has been on the cover of Science, featured in Nature, and presented at TED2025. We're now scaling our research and infrastructure teams to build the next generation of scientific world models.
Open roles:
Head of Data Acquisition — San Francisco, ONSITE Member of Technical Staff, AI Supercomputing — San Francisco / Tokyo, ONSITE Member of Technical Staff, AI Bio — San Francisco, ONSITE Member of Technical Staff, Biosecurity — San Francisco, ONSITE Member of Technical Staff, Computational Biology — San Francisco, ONSITE Member of Technical Staff, Inference — San Francisco Member of Technical Staff, Infrastructure and Training Systems — San Francisco / Tokyo, ONSITE Member of Technical Staff, Mechanistic Interpretability — San Francisco / Tokyo, ONSITE Member of Technical Staff, Post-Training — San Francisco / Tokyo, ONSITE Member of Technical Staff, Pretraining Science — San Francisco / Tokyo, ONSITE
Apply here: https://jobs.ashbyhq.com/radical-numerics
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.