Residency 2026 (AI)

TL;DR

Residency 2026 (AI): Embedding with research teams to work on cutting-edge AI problems under mentorship, with an accent on designing and executing experiments and contributing to real research directions. Focus on pushing the boundaries of AI, learning quickly, and solving open-ended technical problems.

Location: Hybrid, in-person collaboration in San Francisco, CA

Salary: $18,300 per month

Company

hirify.global is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

What you will do

• Embed with one of hirify.global’s Research teams for six months.
• Work on ambitious projects that push the boundaries of AI.
• Receive direct mentorship from experienced researchers.
• Learn to design and execute experiments.
• Contribute to real research directions.

Requirements

• Must be open to consideration for full-time roles after the program.
• Must be based in San Francisco, CA.
• Extremely proficient in programming languages and software development.
• Very comfortable with advanced math concepts in linear algebra, statistics, probability, and calculus.
• Able to independently build or execute complex technical projects.

Nice to have

• Achievements or recognition in any technical or creative field (e.g., competition awards, impactful projects or publications, or open-source contributions).
• Evidence of self-study in machine learning fundamentals.
• Clear signals of originality, experimentation, or rapid learning.
• Motivation to discover AI breakthroughs and their potential benefits to humanity.

Culture & Benefits

• Mentorship from senior researchers and engineers.
• Opportunity to contribute to frontier AI research.
• Relocation assistance available.
• Work in a diverse and inclusive environment.
• Shape the future of technology towards human benefit.

Hiring process

• Applications reviewed and interviews start as early as January 2026.
• Multiple technical assessments over the course of several weeks.
• Start dates are flexible and based on team availability.