Forward Deployed Research Engineer
At a glance
Mid-level Solutions & Sales Engineering role at Clera. Singapore · full-time · $150,000–$250,000 base.
Growth Roles summary, based on the employer's posting.
What you'll do
- Diagnose unclear customer and partner problems, then turn them into practical technical fixes
- Carry deployment requests from initial triage to resolution while coordinating research and go-to-market teams
- Clarify vague requests by determining the actual work required before building a solution
- Create rapid tools and one-off pipelines for urgent customer or partner needs
- Capture recurring issues and replace repeated manual effort with reusable tooling and processes
What you bring
- Two to four years in applied research engineering, forward-deployed engineering, or a similar hands-on technical role
- Broad AI engineering ability plus independent fluency with Python, Docker, and Linux
- Hands-on work with benchmarks and evaluations, including realistic tasks, dependable rubrics, and useful RL training trajectories
- Strong debugging across code, data, and environments, including urgent production, customer, or deployment issues
Who this fits
You’ll suit a hands-on mid-level engineer who can make sound decisions when requirements and solutions are unclear. The role involves direct work with technical customers, vendors, and internal teams, plus collaboration across time zones. It is an on-site position in Singapore, and visa sponsorship is available.
From the employer
About the Role
This is a hands-on, end-to-end ownership role on a small, high-caliber engineering team building infrastructure for reinforcement learning environments and AI evaluation. You will be the person who unblocks critical deployments for frontier AI labs and data vendors, turning urgent, ambiguous technical challenges into clean solutions and reusable tooling.
What You'll Do
Take the lead on diagnosing and resolving ambiguous technical problems for customers and partners.
Own technical deployment requests from triage through to completion, coordinating across research and go-to-market teams.
Ask the right questions to clarify under-specified asks and identify what actually needs to be done.
Build tools and one-off pipelines to solve urgent customer or partner problems quickly and reliably.
Balance speed and quality in fast-turnaround situations where the path is not fully defined.
Document recurring issues and convert repeated manual work into reusable tools and processes.
What We're Looking For
2 to 4 years of experience in applied research engineering, forward-deployed engineering, or a comparable hands-on technical role.
Strong generalist AI engineering skills with the ability to move quickly and independently.
Proficiency in Python, Docker, and Linux environments.
Experience working on benchmarks and evals, with sound judgment about what makes a task realistic, a rubric reliable, and a trajectory useful 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.
Early-stage startup experience and an ability to thrive in fast-paced environments.
Strong written and verbal communication skills for collaboration across time zones.
Compensation & Benefits
Salary range: USD 150,000 to 250,000 annually. Visa sponsorship is available.
Location
On-site in Singapore.
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