Pluralis Research
Research Scientist
San Francisco +1 · Remote · Full-time · Posted Aug 31, 2026
- Location
- San Francisco
Australia - Education
- PhD in machine learning
- Visa sponsorship
- Optional full visa sponsorship and relocation support to either Australia or the US.
About the job
Research open problems in decentralized training and serving of large models, publish findings, and work with engineers to apply methods in live training runs.
What you'll do
- Identify and solve challenges in communication efficiency, convergence under churn and staleness, heterogeneity, and robustness to malicious participants.
- Publish research findings in Tier-1 venues.
- Collaborate with the engineering team to bring research methods into live training runs.
What they ask for
- PhD in machine learning with publications in top-tier conferences such as NeurIPS, ICML, or 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, or open-source AI labs.
Tools
PyTorch
AI focus
Research and develop methods for decentralized training and serving of large models, advancing from an 8B model run toward frontier scale.
Model-written summary · the original posting is authoritative