Research Scientist
New
P
Pluralis ResearchMachine Learning
USA or Australia, working across timezonesFull-TimeMiddle
SalaryWe offer significant ownership for key technical contributors in addition to a high base salary.
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Job Details
- Languages
- Professional-level English proficiency (written and spoken)
- Required Skills
- Machine LearningPyTorchDistributed Systems
Requirements
- PhD in machine learning.
- Proven track record of publications in top-tier conferences (NeurIPS, ICML, ICLR).
- Hands-on experience in large-scale distributed training.
- Experience with model compression strategies.
- Strong programming ability in PyTorch.
- Professional-level English proficiency (written and spoken).
- Commitment to the mission of decentralized Protocol Learning.
- Experience with foundation model pre-training, post-training, or RL (nice to have).
- Experience at proprietary, open-weight, or open-source AI labs (nice to have).
Responsibilities
- Identify research questions that block Protocol Learning at scale, focusing on communication efficiency, convergence under churn, and heterogeneity.
- Solve complex, largely unclaimed open problems in distributed machine learning.
- Publish research findings in Tier-1 venues such as NeurIPS, ICML, and ICLR.
- Collaborate with the engineering team to ensure research methods are implemented in live training runs.
- Push research boundaries from current 8B runs toward frontier scale models.
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