Mid-Level Research Engineer, Benchmarks

ABOUT THE ROLE Join a small, technical team at an early-stage AI evaluation infrastructure startup building benchmarks for frontier AI agents. You will own the design and implementation of rigorous evaluations for realistic, domain-specific workflows, helping technical teams understand how agent performance translates to practical settings. WHAT YOU'LL DO - Design, implement, and maintain benchmarks for evaluating frontier AI agents on domain-specific tasks. - Collaborate with subject-matter experts to turn real workflows into realistic benchmark tasks and evaluation criteria. - Build reliable infrastructure to run models and agents against evaluation tasks at scale. - Develop metrics and analyses to assess benchmark difficulty, reliability, and failure modes. - Validate how benchmark results relate to real-world evaluations and technical user needs. - Write clear technical documentation and reports that communicate findings to research and engineering audiences. WHAT WE'RE LOOKING FOR - Two or more years of experience in research engineering or machine learning engineering, with a focus on AI benchmarks, evaluation infrastructure, or agent environments. - Experience designing, implementing, and operating benchmarks or evaluation environments for AI agents or large language models. - Proficiency in Python, Docker, and Linux environments. - Experience building infrastructure to run AI models or agents reliably, and collaborating with subject-matter experts to define tasks and criteria. - Experience analyzing workflows across technical or business domains, and developing metrics or validation studies for benchmark quality. - Strong technical writing, attention to detail, and ability to work independently in unstructured environments. - Experience with reinforcement learning pipelines, data generation, published work, or public benchmarks is beneficial. COMPENSATION & BENEFITS Annual salary range: $100,000 to $170,000 USD. Visa sponsorship is available. LOCATION On-site in Singapore, Singapore.