Pluralis Research
Research Scientist Intern
San Francisco +1 · Remote · Internship · Posted Aug 31, 2026
- Location
- San Francisco
Australia - Experience
- Not specified.
- Education
- Current PhD candidate.
- Visa sponsorship
- Hiring is limited to Australia and the US; visa sponsorship is limited to those countries.
About the job
Conduct publishable research on Protocol Learning, addressing problems that limit decentralized training and serving of large models at scale.
What you'll do
- Conduct novel Protocol Learning research aimed at publishing in Tier-1 ML conferences.
- Choose and solve a problem that blocks Protocol Learning at scale.
What they ask for
- Current PhD candidate with at least one publication in top-tier ML venues (NeurIPS, ICML, ICLR).
- Strong theoretical understanding of deep learning and distributed systems principles.
- Proficiency in PyTorch and experience with large-scale training infrastructure.
- Professional-level written and spoken English.
Nice to have
- Research focus in a core technical area relevant to frontier models.
- Belief that Protocol Learning is a viable path for collective, trustless, and sovereign AI.
Tools
PyTorch
AI focus
Research into decentralized training and serving of large models, including communication-efficient training, fault tolerance, heterogeneous compute and networks, and robustness to malicious participants.
Model-written summary · the original posting is authoritative