Research Scientist
Pluralis Research is pioneering Protocol Learning—a fully decentralised way to train and deploy AI models that opens this layer to individuals rather than well resourced corporates. By pooling compute from many participants, incentivising their efforts, and preventing any single party from controlling a model’s full weights, we’re creating a genuinely open, collaborative path to frontier-scale AI. If you want your work to shape the future of truly open innovation in artificial intelligence, join us.
Key Responsibilities
Publish in Tier-1 Venues: At the core of Protocol Learning are hard research problems. There are foundational papers up for grabs. Solve these problems, and publish.
What We're Looking For
Research Excellence: PhD in Machine Learning, Maths or Physics with publications in top-tier conferences (NeurIPS, ICML, ICLR).
Distributed ML Experience: Exposure to distributed training, or federated learning.
Implementation Skills: Strong programming abilities in PyTorch, with experience training models across multiple devices.
Bonus: Experience with large language models, post training, RL etc.
Compensation & Benefits
Equity-Heavy Package: We offer meaningful ownership or token allocations for key technical contributors.
Competitive Base: Pluralis is hiring the best.
Visa Sponsorship: Optional full visa sponsorship and relocation support to either US or Australia.
Remote-First Culture: Flexible work environment with team members distributed globally. We have two hubs; New York and Melbourne with optional hybrid work if desired.
Cutting-Edge Domain: Work at the intersection of AI and decentralised systems, tackling some of the most challenging engineering problems in what is about to be one of the largest intersections of two previously non-overlapping fields ever.
Backed by Union Square Ventures and other tier-1 investors, we’re a world-class, deeply technical team of ML researchers. Pluralis is unapologetically ideological. We view the world as a better place if we are able to implement what we are attempting, and Protocol Learning as the only plausible approach to preventing a handful of massive corporations monopolising model development, access and release, and achieving massive economic capture. If this resonates, please apply.
Join Pluralis Research as a Research Scientist and be at the forefront of Protocol Learning, a groundbreaking initiative that democratizes artificial intelligence by allowing individuals to train and deploy AI models collaboratively. At Pluralis, we believe in a future where innovation is open and accessible, moving away from the grasp of giant corporations. As a Research Scientist, your primary responsibility will be publishing in top-tier venues, where you'll tackle challenging research problems that lie at the heart of Protocol Learning. We're looking for candidates with a PhD in Machine Learning, Maths, or Physics and a strong publication record in prestigious conferences like NeurIPS or ICML. If you have experience with distributed training or federated learning and proficiency in PyTorch, you would thrive in our distributed environment. Working here means embracing a remote-first culture, offering a competitive compensation package that prioritizes meaningful equity and ownership. Imagine being in a role that not only provides you with the tools and environment to conduct pioneering research but also supports visa sponsorship and relocation assistance if needed. At Pluralis, you'll be part of a passionate, ideologically-driven team aiming to reshape the intersection of AI and decentralized systems. If you're excited about the possibility of your work shaping true open innovation in AI, we want to hear from you!
Subscribe to Rise newsletter
🔮
Hi, I'm Risa! Your AI Career Copilot
you, just ask me below!
Sign up for our weekly
newsletter of fresh jobs
