Prime Intellect
AI

AI Research Resident - Open Source AGI

Prime Intellect · Anywhere · $140k - $300k

Actively hiring Posted 8 months ago

Overview

Prime Intellect is excited to announce our AI Research Residency Program, a unique opportunity for exceptional researchers, engineers, and hackers to join our team for 3-12 months and contribute to state-of-the-art decentralized AI research project. This program is designed to provide a bridge for brilliant technical minds from diverse fields to transition into AI research and development.

About Prime Intellect

At Prime Intellect, we are on a mission to accelerate open and decentralized AI progress by enabling anyone to contribute compute, code or capital to train powerful, open models. Our ultimate goal? Openly accessible AGI that benefits everyone.

We are building the infrastructure for decentralized AI development at scale. We aggregate global compute and enable researchers to collaboratively train state-of-the-art models through distributed training across clusters..

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).
  • 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.

Benefits & Perks

  • Competitive compensation, including equity incentives, aligning your success with the growth and impact of Prime Intellect.
  • Flexible work arrangements, with the option to work remotely or in-person at our offices 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 and mission-driven team, united by a shared passion for leveraging technology to accelerate science and AI.

We recently raised $15mm in funding (total of $20mm raised) led by Founders Fund, with participation from Menlo Ventures and prominent angels including Andrej Karpathy (Eureka AI, Tesla, OpenAI), Tri Dao (Chief Scientific Officer of Together AI), Dylan Patel (SemiAnalysis), Clem Delangue (Huggingface), Emad Mostaque (Stability AI) and many others.

If you're excited about the opportunity to build the foundation for the future of decentralized AI and create a platform that empowers developers and researchers to push the boundaries of what's possible, we'd love to hear from you.

Tags & focus areas

Used for matching and alerts on DevFound
Open Source Research Ai Remote Openai Fulltime
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.