Apply on Employer Site

Prime Intellect · 2 months ago

AI Research Resident - Open Source AGI

United States

Full-time

Hybrid

New Grad

Prime Intellect is on a mission to accelerate open AI progress and is offering an AI Research Residency Program for exceptional researchers and engineers. The program provides hands-on experience in developing decentralized AI solutions, collaborating with experts, and contributing to state-of-the-art projects focused on democratizing AI.

Agentic AIArtificial Intelligence (AI)Cloud ComputingMachine Learning

H1B Sponsored

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 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

Qualification

Machine LearningDistributed SystemsAI ResearchLarge-scale AI ModelsOpen Language ModelsNetworkingScientific DiscoveryCollaboration

Required

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

Benefits

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.