Software Engineer, Benchmarking

Role Description

Epoch AI is looking for a Software Engineer who will help us evaluate frontier AI models, enabling researchers, developers, and policymakers to better understand AI development. The role will involve running and maintaining our benchmarking infrastructure as well as contributing to the development of brand new benchmarks.

This role is fully remote, and we are able to hire in many countries. We invite anyone who is interested to apply, regardless of background, experience, or credentials. Applications are rolling.

Key Responsibilities

• Implement benchmarks: Implement AI benchmarks within our evaluation infrastructure (primarily using the Inspect library) to expand the suite of capabilities we track. Develop our existing suite of benchmarks so we can quickly and painlessly evaluate new model releases.
• Develop new benchmarks: Contribute to the development of brand new benchmarks. You will have the opportunity to pitch and prototype your own ideas in addition to helping out with existing projects.
• Collaborate: Work closely with researchers, analysts, and other engineers at Epoch AI to ensure evaluation data and outputs are accurate, insightful, and effectively integrated into our research products and publications.

Qualifications

• Solid engineering skills: A strong software engineering background with more than two years of professional experience building and maintaining complex systems. You are expected to regularly contribute high-quality, robust, and maintainable code and be comfortable diving deep into existing codebases and infrastructure.
• Ideas and creativity: Candidates should be able to generate their own ideas for new benchmarks, experiments, novel things to try, and other projects.
• Mission-driven: You’re motivated by Epoch AI’s mission to provide rigorous, independent insight into key trends in AI. You want to deliver public, trustworthy evaluations of AI capabilities on challenging benchmarks, empowering researchers, policymakers, and the wider public to make well-informed decisions about AI.
• AI domain expertise or cybersecurity experience: Strong pluses but not required. (This includes hands-on experience running LLM evaluations, familiarity with evaluation frameworks like Inspect, as well as a solid grasp of current AI trends.) Solid engineering skills and an ability to learn quickly matter more than direct background in these areas.

Requirements

• Professional level English proficiency.
• Ability to overlap with UTC–8 (Pacific Time) and UTC (Greenwich Mean Time).
• Willingness to travel for three retreats per year.

Benefits

• Annual salary between $125,000 and $200,000 USD.
• Fully remote environment, including flexible work hours and schedules for most roles.
• Competitive global benefits program, including a comprehensive health insurance program and life insurance.
• Generous paid time off (PTO), including no specific limit on PTO with 30 days per year protected, unlimited personal and sick leave, and up to 6 months parental leave for permanent staff.
• A flexible and generous expense policy for equipment and productivity tools.
• Paid work trips, including 3 staff retreats per year and relevant conferences.
• Access to well-equipped offices in Berkeley, California, including paid meals, snacks, gym, and more.
• All staff have access to the office for at least 20 days each year.