epoch-ai - Epoch AI - Researcher / Senior Researcher
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Requirements
• Curiosity and learning speed: You can rapidly absorb new information across diverse domains and stay at the forefront of a fast-moving field. You seek out new research and enjoy diving into unfamiliar topics. • Estimation and forecasting skills: You’re comfortable making quantitative estimates with limited information and reason clearly about uncertainty. • Familiarity with AI trends, including Epoch’s existing research. • Strong coding skills and excellent written and verbal communication skills. • Outstanding candidates might have prior experience in research similar to Epoch’s field, experience in at least one part of the AI development pipeline (hardware, datacenters, benchmarks) or relevant experience in related organizations. • If you don’t tick all these boxes but think you would be a great fit, please consider applying anyway!
Responsibilities
• Epoch AI is looking for experienced researchers to lead new projects on one of multiple expanding teams. • ## Data and Trends Researchers • Conduct research on frontier AI datacenters, AI supply chains, polling, benchmark analysis, earnings growth of AI companies, and AI models. • Write data insights, reports, and articles to communicate your research. • Help create and maintain data sets related to AI. • Team-specific requirements: Experience with data analysis techniques like bootstrapping, handling uncertainty, regressions etc. • Team-specific nice-to-haves: Prior research experience in one or more of GPU manufacturing and design, data centers, AI infrastructure, geospatial data analysis, AI governance, running surveys, forecasting, or sell-side analysis. • ## Insights Researchers • Pitching and developing new research projects; kick-off new investigations into the most important questions in AI. • Making estimates and forecasts based on limited information for quantities like compute resources, power supply curves, or future capabilities. • Evaluating technical claims to assess whether reported benchmark scores, training costs, or algorithmic improvements are credible. For example, what should we think of a lab’s reports of achieving IMO gold, or claims about DeepSeek-R1’s training costs? • Experience with basic data analysis techniques like bootstrapping, handling uncertainty, regressions etc. • Team-specific requirements: Prior research experience in at least one part of the AI development pipeline (hardware, datacenters, benchmarks, AI research, etc.). • ## Benchmarking and Evaluations Researchers
Benefits
• Annual salary between $100,000 and $160,000 USD for Researchers; between $150,000 and $250,000 USD for Senior Researchers. • Salaries are not restricted to USD, and contracts and payments are usually in local currencies. Conversions are based on one-year average exchange rates. • Fully remote environment, including flexible work hours and schedules for most roles; paid access to local coworking space as desired. • Competitive global benefits program, including a comprehensive health insurance program—including supplemental benefits specific to a local country, as available and mandated by local law—and life insurance and a pension plan, if applicable in your country. • Generous paid time off (PTO), including no specific annual limit, with 30 days PTO per year protected, unlimited personal and sick leave, and 4 months paid parental leave for permanent staff with at least 12 months of tenure (prorated parental leave if less than 12 months). • A flexible and generous expense policy for you to spend on equipment and a large range of productivity tools or learning/development opportunities you might find valuable, subject to regulations and manager approval. • Paid work trips, including 3 staff retreats per year and relevant conferences. • Access to our very well-equipped offices in Berkeley, California, including paid meals, snacks, gym, and more.
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