About this role
About the Role
Join a small engineering team at an AI company focused on reinforcement learning environments, model evaluation, and post-training data. You will tackle urgent, ambiguous technical challenges for AI labs and data vendors, while turning repeated deployment work into reusable tools.
What You'll Do
• Own technical deployment requests from initial triage through resolution.
• Diagnose ambiguous technical problems and clarify what needs to be done.
• Build tools and one-off pipelines to address urgent customer and partner needs.
• Coordinate with research, go-to-market, and other internal teams to unblock deployments.
• Balance speed and quality, escalating when correctness or security requires extra care.
• Document recurring issues and convert manual work into reusable tools and 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 customer-facing deployment work, including ownership of requests from triage to completion.
• Proficiency in Python, Docker, and Linux, with strong debugging skills across code, data, and environments.
• Experience with benchmarks and evaluations for reinforcement learning training data and AI agents, including assessing task realism, rubric reliability, and useful training trajectories.
• Ability to build practical tools and pipelines, work directly with technical customers or vendors, and handle urgent production or deployment issues.
• Strong independent judgment in ambiguous situations, clear communication across time zones, and experience in an early-stage startup environment.
Compensation & Benefits
Base salary: $100,000 to $170,000 USD annually. Visa sponsorship is available.
Location
On-site in Singapore, Singapore.
Description from Clera's public careers feed, reproduced so you can read the role here. Apply on the company's own site; RealAnalystJobs never submits anything for you.
