Research Scientist
AI
Pluralis Research is seeking a Research Scientist to work on Protocol Learning, training and serving large models in a fully decentralized manner on consumer-grade devices. The role involves solving open problems in distributed ML, publishing in top-tier venues, and integrating methods into live training runs. Requires a PhD in machine learning with publications at NeurIPS, ICML, or ICLR, and strong PyTorch skills.
What you'll do
- Solve the open problems: Identify the questions that block Protocol Learning at scale. communication efficiency, convergence under churn and staleness, heterogeneity, robustness to malicious participants.
- Publish in Tier-1 venues: The problems are hard and largely unclaimed. Solve them, and publish.
- Get the methods into runs: Work with the engineering team so your results land in live training runs, not just papers.
What you need
Must-have
Machine LearningDistributed MLLarge-scale distributed trainingCompression strategiesPyTorch
Nice-to-have
Foundation model pre-trainingPost-trainingReinforcement Learning
Soft skills
Mission alignmentComfortable working across timezonesProfessional-level English proficiency
Research ScientistMachine LearningDistributed TrainingProtocol LearningDecentralized AIPyTorchPhDRemoteFull-time