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Salary
$100k – $170k per year
Location
In office (Singapore)
Seniority
Junior · 2+ years exp
Visa
Sponsorship offered in the posting
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 29, 2026. First seen by Alion on Oct 28, 2026. Clera scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Clera is a San Francisco company that runs an AI recruiting platform positioned as a talent agent rather than a job board, matching engineers and other technical candidates to roles at venture-backed startups. Its system reads a candidate's background and preferences, then represents them to hiring teams at companies funded by firms such as Andreessen Horowitz, Y Combinator, Index Ventures and General Catalyst, compressing the introduction step that traditional headhunting handles manually. The model is aimed at the segment where recruiter fees are highest and candidate supply is thinnest, and the platform handles screening, scheduling and pipeline tracking for both sides of the match.
Backed by TU

About the Role

Join a small engineering team at an AI/ML company focused on reinforcement learning environments, evaluations, and training data. You will solve urgent, ambiguous technical challenges for AI labs, data vendors, and internal teams, while turning repeated deployment work into reusable tools.

What You'll Do

  • Diagnose ambiguous technical problems and clarify what needs to be done.

  • Own technical deployment requests from triage through completion.

  • Build tools and one-off pipelines to address urgent customer and partner needs.

  • Coordinate with research and go-to-market teams to unblock deployments.

  • Balance fast delivery with quality, correctness, and security.

  • Document recurring issues and automate manual work into reusable tools or processes.

What We're Looking For

  • Two to four years of experience in applied research engineering, forward-deployed engineering, or a similar hands-on technical role.

  • Research engineering experience alongside experience owning technical deployments.

  • Proficiency in Python, Docker, and Linux, with a technical educational background.

  • Experience with benchmarks and evaluations for reinforcement learning training data or AI agents, including sound judgment about task realism and rubric quality.

  • Strong debugging skills across code, data, and technical environments.

  • Ability to work independently through ambiguity, handle urgent production or deployment issues, and communicate effectively with technical customers, vendors, and cross-functional teams.

  • Experience at an early-stage startup and a track record of careful, original technical work.

Compensation & Benefits

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

Location

On-site in Singapore, Singapore.

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