Forward Deployed Research Engineer

Wwshemi; Singapore; Presencial; SGD 128.000 - 217.000; Jornada completa

Descripción de la vacante

Wwshemi in Singapore is building an early-stage AI evaluation infrastructure team. You will own deployments from diagnosis through implementation, building reusable tools and pipelines to support urgent customer and partner needs.

We seek researchers turned engineers with 2–4 years of hands-on experience in applied research engineering or forward-deployed roles, proficient in Python, Docker, and Linux. You’ll collaborate across research and GTM teams in a fast-moving startup.

Formación

• 2–4 years of hands-on experience in applied research or forward-deployed engineering.
• Experience owning deployments and building tooling for urgent customer needs.
• Proficient in Python, Docker, and Linux environments.
• Experience developing benchmarks for reinforcement learning data and agents.
• Strong debugging and communication skills in a fast-moving startup.
• Ability to work with technical customers and cross-functional teams.

Responsabilidades

• Diagnose ambiguous technical problems and clarify requirements.
• Own deployment requests from triage through completion for partners and teams.
• Build tools and pipelines for urgent needs.
• Collaborate with research and go-to-market teams to unblock deployments.
• Balance speed and quality while debugging across code, data, and environments.
• Document recurring issues and convert manual work into reusable tools.

Conocimientos

Python

Research engineering

Deployment ownership

Customer-facing

Herramientas

Docker

Linux

Descripción del empleo

About the Role

Join an engineering team at an early-stage AI evaluation infrastructure company, solving urgent technical challenges for AI research organizations and data partners. You will own deployments from initial diagnosis through implementation, helping unblock important work and turn recurring problems into reusable tools.

What You'll Do

• Diagnose ambiguous technical problems, clarify requirements, and determine practical solutions.
• Own deployment requests from triage through completion for external partners and internal teams.
• Build tools and one-off pipelines to address urgent customer and partner needs.
• Collaborate with research and go-to-market teams to unblock deployments.
• Balance speed and quality while debugging issues across code, data, and technical environments.
• Document recurring problems 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 closely related hands-on technical role.
• Research engineering experience alongside forward-deployed or customer-facing engineering work.
• Proficiency with Python, Docker, and Linux environments.
• Experience developing benchmarks and evaluations for reinforcement learning training data and AI agents, with sound judgment about task realism, rubric reliability, and useful training trajectories.
• Experience owning technical deployments, building tools or pipelines for urgent needs, and working directly with technical customers, vendors, or cross-functional teams.
• Strong debugging, communication, and independent problem-solving skills, including experience handling urgent production or deployment issues.
• Comfort working in an early-stage startup and making careful decisions in ambiguous, fast-moving situations.

Compensation & Benefits

Compensation is USD $100,000 to $170,000 annually. Visa sponsorship is available.

Location

This is an on-site role based in Singapore, Singapore.