Mid-Level Research Engineer, Benchmarks

ABOUT THE ROLE Join a small, technical research and engineering team building rigorous benchmarks for evaluating AI agents on realistic, domain-specific workflows. You will own benchmark design and implementation, helping ensure evaluation results are reliable and useful to research and industry teams. WHAT YOU'LL DO - Design, implement, and maintain benchmarks for evaluating AI agents on domain-specific tasks. - Collaborate with subject-matter experts to turn real workflows into realistic 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 performance and evaluation needs. - Write clear technical documentation and reports for research and engineering audiences. WHAT WE'RE LOOKING FOR - Two to four years of experience in software engineering, machine learning engineering, or research, including at least two years focused on AI benchmarks, evaluations, or agent environments. - Hands-on experience designing, implementing, and operating benchmarks or evaluation infrastructure for AI agents or large language models. - Proficiency with Python, Docker, and Linux environments. - Experience working with subject-matter experts to model workflows across technical or business domains and define evaluation criteria. - Experience developing metrics, statistical analyses, or validation studies for benchmark quality and real-world relevance. - Strong technical writing, attention to detail, and ability to work independently in an early-stage environment. - Experience with reinforcement learning pipelines, data generation, or agent evaluation is useful. Published work or technical writing on AI evaluation is also valued. COMPENSATION & BENEFITS Annual salary range: $100,000 to $170,000 USD. Visa sponsorship is available. LOCATION On-site in Singapore, Singapore.