About the RoleThis is a hands-on engineering role at the intersection of applied research and customer deployment, sitting within a small, high-caliber team building infrastructure for RL environments and AI evaluation. You'll own end-to-end resolution of urgent, ambiguous technical challenges for frontier AI labs and data vendors - turning repeated firefighting into durable, reusable tooling.
What You'll Do- Take the lead on diagnosing and resolving ambiguous technical problems from triage through to completion.
- Own technical deployment requests from frontier AI labs, data vendors, and internal teams.
- Ask the right questions to clarify underspecified asks and identify what actually needs to be done.
- Build one-off tools and pipelines to solve urgent customer or partner problems quickly.
- Coordinate with research and go-to-market teams to unblock critical deployments.
- Balance speed and quality when customers need fast turnaround and the path isn't fully defined.
- Document recurring issues and convert repeated manual work into reusable tools or processes.
What We're Looking For- 2-4 years of experience in applied research engineering, forward-deployed engineering, or a closely related hands-on technical role.
- Strong generalist AI engineering skills with a demonstrated ability to move quickly.
- 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.
- Proven ability to operate independently in ambiguous situations without a fully prescribed roadmap.
- Comfort working directly with technical customers, vendors, or cross-functional internal teams.
- Experience handling urgent production, customer, or deployment issues under time pressure.
- Early-stage startup experience and comfort in fast-paced, self-directed environments.
- Strong communication skills for remote collaboration across time zones.
Compensation & BenefitsSalary range:
$150,000-$250,000 USD annually. Visa sponsorship is available.
LocationOn-site in
San Francisco, CA, USA. A second office is available in Singapore.
