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AI Research Resident - Open Source AGI

AI / ML Engineer • Remote • Vollzeit • 📍 Remote

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

Curiosity and self-directed learningOpenness to research collaboration and knowledge sharing

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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