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Clera

Mid-Level Research Engineer, Benchmarks

Singapore
Salary
$100,000 - $170,000
Level
Mid
Work type
On-site · Singapore
Visa
Sponsors visas

Open. First seen 12 October 2026.

Apply on the company's site →

What this role asks for

Particular to this role

Docker · Linux

Rare in Clera's other 299 open postings.

Standard for software engineering roles

Python

Common in software engineering postings at any company.

Read against Clera's other open postings on this site.

The team: Engineering HIRES STEADILY

This role is one of 292 open in Engineering. 226 were posted in the last 30 days and the oldest in March: a team that hires all year rather than one being built.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

LLM (135 of 292), TypeScript (131 of 292), Python (123 of 292), React (107 of 292), Machine Learning (70 of 292), PostgreSQL (58 of 292), JavaScript (55 of 292)

OTHER ROLES ON THIS TEAM

From the team and dates on Clera's own job board.

About the role

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.

Other openings for this role

2 open postings for this role in Singapore, first posted 6 October 2026. The company is likely hiring for more than one position. None has been taken down and posted again.

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