Pluralis Research is developing a protocol that facilitates collaborative training and ownership of foundation models. The company focuses on creating tools that enable multiple stakeholders to jointly train large language models while maintaining clear ownership rights. By combining secure multi-party computation with transparent governance, Pluralis offers a unique framework that reduces data siloing and promotes shared innovation. Their approach differentiates them in the AI ecosystem, positioning them as a leader in collaborative model development and ownership solutions.
Open Positions
Staff Frontend Engineer
5+ years of experience, Bachelor's degree, Strong collaboration skills
Research Scientist Intern
Current PhD candidate with publication track record, research focus on frontier models, and technical depth in deep learning and distributed systems
Distributed Systems Engineer
2+ years of experience in distributed systems, network and protocol expertise, hands-on engineering skills, and open-source enthusiasm
Research Scientist
PhD in Machine Learning with publications in top-tier conferences, distributed ML experience, and strong programming skills in PyTorch
Research Scientist
PhD in Machine Learning with publications in top-tier conferences and experience with distributed training
Senior / Staff Frontend Engineer
Senior/Staff Frontend Engineer with 5-10 years of experience in building complex web applications, leading large-scale frontend projects, and designing data visualisation tools
Academic Collaboration
Active Researchers with Relevant Expertise and Publication Track Record
Research Scientist Intern
PhD candidate with publication track record, research focus, technical depth, and implementation skills
Machine Learning Engineer
Master's degree in Computer Science, several years of ML engineering experience, strong understanding of model parallelism and distributed training architectures
Senior Platform Engineer
5+ years of experience in infrastructure-as-code, Python engineering, container & GPU, networking, and ML infrastructure, plus experience in a startup environment and a strong passion for AI and decentralized systems
+17 More Jobs Available!
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