Expression of Interest

Our interdisciplinary team is constantly in search of talent that can add to our skill set, including in research, operations, engineering, data, and communications. Please submit an expression of interest if you are interested in working with us. We won’t scan applications on a regular basis, but we will reach out if there’s an open position we think you might be a good fit for.

Epoch is fully remote, and we are able to hire in many countries. We welcome both full-time and part-time applicants for most roles, with a strong preference for full-time candidates. Email careers@epoch.ai if you have any questions.

Epoch AI is a research institute that investigates trends in machine learning and the economic consequences of AI. Our work informs policy-making at key government institutes and governance at leading industry AI labs.

You can learn more about our work in this summary dashboard or our blog.

Additional Information While we welcome applicants from all time zones, you may be expected to attend meetings during working hours between UTC-8 and UTC+1 time zones, where most of our staff are based.

Our benefits package varies by country, but we make every effort to ensure that it is equitable and high-quality. In most countries we offer medical insurance, life insurance, pension plan, unlimited PTO, 6 months of parental leave, paid work trips, flexible equipment spending, and salaries competitive with similar academic and non-profit organizations.

About Epoch AI Epoch AI is a research institute leading the investigation of artificial intelligence's trajectory and societal impact. Our mission is to develop a comprehensive, publicly accessible knowledge base on AI that informs policymakers, industry leaders, and society at large.

We strive to achieve both rigor and accessibility to our work, as exemplified by some of our most successful projects, including our database of AI models and our AI trends dashboard. Our expertise in AI is demonstrated by our body of research, including our work on compute trends (IJCN 2022), data scarcity (ICML 2024), and algorithmic progress (NeurIPS 2024). You can read more about our work and mission on our website and this Time profile.