Forward Deployed Research Engineer
At a glance
Mid-level Solutions & Sales Engineering role at Clera. Singapore · full-time · $100,000–$170,000 base.
growthroles summary, based on the employer's posting.
What you'll do
- Handle technical rollout requests from first review to resolution, working out what unclear problems require
- Create focused tools and short-lived pipelines for urgent customer and partner work
- Coordinate with research, go-to-market and internal groups to clear deployment obstacles
- Record repeated issues and replace manual fixes with tools and processes others can reuse
- Escalate when correctness or security needs more care, even if that slows delivery
What you bring
- You have two to four years in applied research engineering, deployment engineering or a comparable hands-on technical position
- You have combined research engineering with customer-facing deployment work and carried requests through completion
- You work proficiently with Python, Docker and Linux, debugging code, data and environment problems
- You have assessed reinforcement learning benchmarks and AI agent evaluations, including task realism, rubric reliability and training trajectories
Who this fits
This role suits an engineer comfortable owning urgent, ambiguous deployment work and working directly with technical customers or vendors. You’ll work on-site in Singapore.
From the employer
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.
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