Pluralis Research
Research Scientist
San Francisco, Remote. Posted 2 months ago
The role
You will solve open problems in Protocol Learning to push toward frontier scale and publish your findings. You will work with the engineering team to implement methods into live training runs.
What you will do
- Identify questions that block Protocol Learning at scale including communication efficiency, convergence under churn and staleness, heterogeneity, and robustness to malicious participants.
- Publish in Tier-1 venues.
- Work with the engineering team so results land in live training runs.
Required qualifications
- PhD in machine learning with publications in top-tier conferences (NeurIPS, ICML, ICLR)
- Hands-on experience in large-scale distributed training and compression strategies
- Strong programming ability in PyTorch
- Professional-level English proficiency (written and spoken)
Nice to have
- Experience with foundation model pre-training, post-training, or RL
- Experience at proprietary, open-weight and open-source AI labs
Benefits
- Equity-Heavy Package
- Significant ownership for key technical contributors
- High base salary
- Remote-First Culture
- Optional full visa sponsorship
- Relocation support to either Australia or the US
Before you apply
- Optional full visa sponsorship and relocation support to either Australia or the US
About the company
Pluralis Research works on Protocol Learning to train and serve large models in a fully decentralized way on small consumer-grade devices. The team is backed by Union Square Ventures and other tier-1 investors.