Overview
ABOUT THE ROLE
Full job description
ABOUT THE ROLE This is a hands-on, end-to-end technical role on a small, high-caliber engineering team building infrastructure for reinforcement learning environments and AI evaluation. You will own urgent, ambiguous technical challenges for frontier AI labs and data vendors, turning repeated firefighting into reusable tooling that directly unblocks critical deployments. WHAT YOU'LL DO
- Take the lead on diagnosing and resolving ambiguous technical problems from triage to completion.
- Own deployment requests from frontier AI labs, data vendors, and internal teams end-to-end.
- Ask the right questions to clarify vague asks and identify what actually needs to be built or fixed.
- Build tools and one-off pipelines to solve urgent customer or partner problems quickly.
- Coordinate with research and go-to-market teams to unblock deployments.
- Balance speed and quality when customers need fast turnaround on underspecified problems.
- Document recurring issues and convert repeated manual work into reusable tools or processes. WHAT WE'RE LOOKING FOR
- 2 to 4 years of experience in applied research engineering, forward-deployed engineering, or a closely related hands-on technical role.
- Proficiency in Python, Docker, and Linux environments.
- Experience working on benchmarks and evals, with sound judgment about task realism, rubric reliability, and trajectory quality for RL training.
- Strong debugging instincts across code, data, and environments.
- Demonstrated ability to operate independently in ambiguous situations without a fully prescribed roadmap.
- Experience handling urgent production, customer, or deployment issues.
- Comfort working directly with technical customers, vendors, or cross-functional internal teams.
- Strong communication skills for collaboration across time zones.
- Early-stage startup experience and an ability to move fast without sacrificing quality.
- Careful, original technical work with good judgment about when correctness or security requires extra care. COMPENSATION & BENEFITS Salary range: $150,000 to $250,000 USD annually. Visa sponsorship is available. LOCATION On-site in Singapore.
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