AI Research Resident - Open Source AGI
Prime Intellect builds the 'Open Superintelligence Stack' — an integrated compute, training, inference, and sandbox platform that lets companies train, deploy, and continuously improve their own AI models and agents. It serves AI startups, 'neolabs', and enterprises (over 6,000 customers, including Ramp and Zapier) that want to own their model optimization loop rather than rely solely on closed frontier labs.
Maintainer signals as of 8/12/2026
Funding history
Investors
Projects
About Prime Intellect
Prime Intellect is a San Francisco-based AI infrastructure company building what it calls the Open Superintelligence Stack: a full-stack platform spanning GPU compute (on-demand and reserved clusters), large-scale reinforcement learning training ('Lab'), an Environments Hub with 2,500+ community RL environments, hosted evaluations, sandboxed code execution, and dedicated/serverless model inference with native LoRA support. The company maintains open-source libraries (verifiers and prime-rl) used to build and train RL environments, and publishes frontier open research such as the INTELLECT and SYNTHETIC model/dataset series. Prime Intellect works with AI startups, enterprises, and 'neolab' customers such as Ramp and Zapier, helping them turn production traces and evaluations into custom-trained, post-trained agent models that outperform closed frontier models on specific workflows at lower cost and latency. The company has raised over $150M in total funding, including a $130M Series A led by Radical Ventures with participation from NVIDIA Ventures, Intel Capital, and Dell Technologies Capital, and reports over $100M in annualized revenue.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will participate in a paid AI research residency focused on open language models, coding agents, scientific discovery, and distributed AI infrastructure. You will collaborate with experts, develop and deploy large-scale models, publish research, and contribute to projects that make AI more accessible.
Requirements
- PhD studies or postdoctoral research in computer science, mathematics, physics, neuroscience, or a related field
- Software engineering experience with interest in AI research
- Proven record of exceptional technical contributions
- Experience in machine learning, distributed systems, or protocols
Responsibilities
- Collaborate with experts to develop open language models, coding agents, and scientific discovery models
- Contribute to projects focused on democratizing AI
- Develop and deploy large-scale AI models using novel architectures and distributed training techniques
- Publish research papers
- Present findings at top-tier AI conferences
Benefits
- Flexible work arrangements
- Remote or in-person work options
- Visa sponsorship
- Relocation assistance
- Quarterly team off-sites
- Hackathons
- Conferences
- Learning opportunities
