
AI Research Resident - Open Source AGI
Prime Intellect is launching a paid, full-time AI Research Residency offering hands-on experience on real-world AI challenges alongside its world-class research team, spanning open language models, coding agents, and scientific discovery models.
Responsibilities
- ▹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 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
- ▹Work on one or more focus areas: distributed AI infrastructure, open language models, coding agents, scientific discovery
Requirements
- ▹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
- ▹Experience in machine learning, distributed systems, or protocols
Soft skills
What we offer
- ▹Flexible work arrangements, with the option to work remotely or in-person in San Francisco or Berlin
- ▹Visa sponsorship and relocation assistance for international candidates
- ▹Quarterly team off-sites, hackathons, conferences, and learning opportunities
- ▹Opportunity to work with a talented, hard-working, mission-driven team
About the company
Prime Intellect is building the open superintelligence stack: the infrastructure frontier AI labs build internally, made available to every ambitious AI team. Its platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment into one full-stack system. The company is backed by leading investors including Founders Fund, Radical Ventures, and NVIDIA. The company recently closed $15mm in new funding (totaling $20mm raised), led by Founders Fund, with participation from Menlo Ventures and prominent angels including Andrej Karpathy and Tri Dao.
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