Research Engineer, Benchmarks

About the Role

Join a small, technical AI evaluation team building rigorous benchmarks for frontier AI agents. You will own the design and implementation of domain-specific evaluations that help research teams and customers understand how agents perform on realistic workflows.

What You'll Do

• Design, implement, and maintain internal benchmarks for evaluating frontier agents on domain-specific tasks.
• Partner with subject-matter experts to translate real-world workflows into benchmark tasks and evaluation criteria.
• Build reliable infrastructure to run models and agents against benchmark tasks at scale.
• Develop metrics and analyses to assess benchmark difficulty, reliability, and failure modes.
• Validate whether benchmark results align with real-world evaluations and user needs.
• Write clear technical documentation and reports explaining benchmark methods and results.

What We're Looking For

• Two to four years of experience in software engineering, machine learning engineering, or research engineering, including at least two years building AI benchmarks, evaluation infrastructure, or agent environments.
• Technical education or strong fundamentals in a technical field.
• Proficiency with Python, Docker, and Linux for research or production infrastructure.
• Hands-on experience designing and operating evaluations or environments for AI agents or large language models.
• Experience building reliable model or agent execution infrastructure, developing evaluation metrics or statistical analyses, and validating benchmark performance.
• Ability to work with subject-matter experts and understand workflows across technical or business domains.
• Strong technical writing, attention to detail, independent problem-solving, and comfort in an early-stage environment.
• Published research or technical writing on AI benchmarks, evaluation methods, or model failure modes is valued. Reinforcement learning pipelines, data generation, and agent evaluation experience are also relevant.

Compensation & Benefits

Base salary: $100,000 to $170,000 USD annually. Visa sponsorship is available.

Location

On-site in Singapore, Singapore.