Research Engineer, Benchmarks

CLERA; Singapore; On-site; SGD 128,000 - 218,000; Full time

Benefits offered by this job

Visa sponsorship available

Job summary

Clera Labs, Inc. is hiring for a role focused on designing and implementing rigorous benchmarks for frontier AI agents. You will work with experts to translate workflows into tasks, build scalable evaluation infrastructure, and develop metrics that reveal model performance and failure modes.

The ideal candidate has 2–4 years in research or ML engineering, strong Python, Docker, and Linux skills, and experience delivering AI benchmarks. On-site in Singapore with visa sponsorship available.

Qualifications

• 2–4 years of experience in research or ML engineering roles, with ≥2 years building AI benchmarks.
• Strong Python, Docker, and Linux skills for research or production infra.
• Hands-on experience designing, implementing, and operating evaluations for AI agents or LLMs.
• Experience building infrastructure to run models, and developing metrics and validation studies.
• Ability to collaborate with subject-matter experts and translate workflows into evaluation tasks.
• Strong writing, attention to detail, first-principles reasoning, and startup adaptability.
• Published benchmarking or evaluation research is valued; RL pipelines and data generation are relevant.

Responsibilities

• Design, implement, and maintain benchmarks for evaluating AI agents on domain-specific tasks.
• Translate real workflows into realistic tasks and evaluation criteria with experts.
• Build infrastructure for running models and agents against benchmark tasks at scale.
• Develop metrics and analyses for benchmark difficulty, reliability, and failure modes.
• Validate benchmark results against real-world evaluations and user needs.
• Write clear technical documentation and reports communicating methods and results.

Skills

AI benchmarking experience

Research engineering

Technical writing

Independent startup environment

Tools

Python

Docker

Linux

Job description

About the Role

Join a small, technical team at an early-stage AI evaluation company building benchmarks for frontier AI agents. You will own the design and implementation of rigorous, domain-specific evaluations that help research teams and customers understand real-world agent performance.

What You'll Do

• Design, implement, and maintain benchmarks for evaluating AI agents on domain-specific tasks.

• Work with subject-matter experts to translate real workflows into realistic tasks and evaluation criteria.

• Build reliable infrastructure for running models and agents against benchmark 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 user needs.

• Write clear technical documentation and reports communicating benchmark methods and results.

What We're Looking For

• Two to four years of experience in research engineering, machine learning engineering, or a related technical role, including at least two years building or delivering AI benchmarks, evaluation infrastructure, or agent environments.

• Strong proficiency in Python, Docker, and Linux for research or production infrastructure.

• Hands-on experience designing, implementing, and operating evaluations for AI agents or large language models.

• Experience building infrastructure to run models or agents reliably, and developing metrics, statistical analyses, or validation studies.

• Ability to collaborate with subject-matter experts and analyze workflows across different domains to create useful evaluation tasks.

• Strong technical writing, attention to detail, first-principles reasoning, and comfort working independently in a fast-paced startup.

• Published research or technical writing on benchmarking, model evaluation, or 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.