AI Research Resident - Open Source AGI

OWN YOUR INTELLIGENCE Prime Intellect is building the open superintelligence stack: the infrastructure frontier AI labs build internally, made available to every ambitious AI team. Our platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment into one full-stack system for post-training at frontier scale - from SFT and RL to tool use, agent workflows, and continuously improving production models. We are building open frontier AI: open-source models trained end to end for long-horizon tasks like autonomous research, and the full-stack platform our own research team uses to build them. The next generation of AI companies, enterprises, and research teams do not just need more GPUs. They need the ability to turn their own workflows, tools, data, and feedback loops into superintelligence they own. Prime Intellect has raised $150M in total funding from Founders Fund, Radical Ventures, NVIDIA, and exceptional AI, infrastructure, and enterprise operators — including Andrej Karpathy, Dwarkesh Patel, and leaders and founders from Ramp, Perplexity, Harvey, Mercor, Zapier, Datadog, Cognition, OpenAI, Thinking Machines, Together AI, SemiAnalysis, LangChain, Browserbase, Cloudflare, Sierra, Databricks, Airbnb, OpenRouter, Standard Intelligence, Fleet, Core Auto, and more. We are looking for people who want to build at the intersection of frontier research, real infrastructure, and go-to-market for a category that does not fully exist yet. ABOUT THE PROGRAM The Prime Intellect AI Research Residency is a paid, full-time program that offers hands-on experience working on real-world AI challenges alongside our world-class research team. Residents will have the opportunity to: - Collaborate with leading experts in AI, distributed systems, and protocols to develop state-of-the-art open language models, coding agents, and scientific discovery models - Contribute to projects focused on democratizing AI and making it universally accessible through the Prime Intellect platform - Gain practical experience in developing and deploying large-scale AI models using novel architectures and distributed training techniques across thousands of GPUs and smaller clusters - Publish research papers and present findings at top-tier AI conferences - Develop a strong network within the decentralized AI community WHO WE'RE LOOKING FOR We welcome applications from researchers, engineers, and hackers with diverse backgrounds and skill sets, including but not limited to: - PhD students or postdoctoral researchers in computer science, mathematics, physics, neuroscience, or related fields - Experienced software engineers with a strong interest in transitioning to AI research - Self-taught individuals with a proven track record of exceptional technical contributions - Candidates with experience in machine learning, distributed systems, or protocols FOCUS AREAS Residents will have the opportunity to work on one or more of the following focus areas: - Distributed AI Infrastructure: Contribute to the development of the Prime Intellect protocol, enabling massively scalable, distributed compute marketplaces and collective ownership of AI models. - Open Language Models: Build large language models like open-source software, allowing for continual improvement and model merging. We envision a future where all training compute can be built upon by everyone so that all efforts towards intelligence are cumulative. (Inspired by Colin Raffel https://colinraffel.com/blog/a-call-to-build-models-like-we-build-open-source-software.html). - Coding Agents: Train AI agents that deeply understand code semantics and can autonomously build complex software systems. - Scientific Discovery: Explore scientific agents and foundation models to accelerate research in fields such as longevity drug discovery, materials science and other scientific areas.