Research Scientist

Pluralis Research · Remote · San Francisco · Australia ·
Fully remoteFull-timeMiddle3–5 years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Fully remote (global)
  • PhD in ML required
  • PyTorch + Distributed ML
  • Visa sponsorship available
  • Publish in Tier-1 venues

Join Pluralis Research to tackle the challenges of training and serving large models in a fully decentralized manner. You will work on communication-efficient training, fault tolerance, and robustness against malicious participants, moving from 8B parameter models toward frontier scale. Your research will directly influence live training runs and result in foundational publications.

What you'll do

  • Identify and solve open problems blocking Protocol Learning at scale
  • Address challenges in communication efficiency and convergence under churn
  • Develop methods robust to heterogeneous compute and malicious participants
  • Publish research findings in top-tier conferences like NeurIPS or ICML
  • Collaborate with engineering to implement methods in live training runs

What you'll need

  • PhD in machine learning with top-tier conference publications
  • Hands-on experience in large-scale distributed training
  • Expertise in compression strategies for distributed systems
  • Strong programming skills in PyTorch
  • Professional-level written and spoken English proficiency
  • Alignment with the mission of trustless and sovereign AI

Nice to have

  • Experience with foundation model pre-training or post-training
  • Background in reinforcement learning (RL)
  • Prior work at proprietary or open-source AI labs

Stack

  • PyTorch
  • Protocol Learning
  • Subspace Networks
  • Factored Gossip DiLoCo
  • AsyncMesh
  • Sentinel

How you'll work

  • Fully remote with team members distributed globally
  • Main teams located in Australia and North America
  • Must be comfortable working across multiple time zones

What you get

  • Equity-heavy package with significant ownership
  • High base salary for key technical contributors
  • Optional full visa sponsorship for Australia or US
  • Relocation support provided if moving to sponsored locations