Jobs at Transluce

Own end-to-end technical engagements involving AI evaluations, embedded assessments, and rapid-response incident analysis. Scope projects, coordinate technical teams, manage dependencies, guide methodological decisions, maintain partner relationships, interpret evaluation results, and present findings to technical, governmental, media, and public audiences. The role also develops repeatable workflows and playbooks while collaborating with research and governance teams.

Investigate honesty, alignment, and unexpected behaviors in frontier AI systems. Develop automated evaluations, analysis workflows, and LLM-as-a-judge pipelines; analyze agent transcripts and large datasets; identify anomalies; conduct rapid investigations; and communicate findings through rigorous reports for technical, policy, government, and AI lab audiences.

Build and run Transluce’s business operations infrastructure as the organization scales from 20 to 40+ employees. Responsibilities include managing financial controls, accounts payable and receivable, donations, audits, internal tools, cybersecurity and privacy compliance, SOC 2 controls, office IT, vendor relationships, and workplace infrastructure. The role advises leadership, improves processes, and balances strategic planning with hands-on execution.

Build and run Transluce’s People Operations function as the first dedicated people professional. Responsibilities include end-to-end hiring, sourcing strategy, onboarding, benefits, payroll, HRIS ownership, employee relations, culture practices, and federal and multi-state employment compliance. The role advises leadership, manages vendors and external counsel, handles visa processes, and develops scalable people infrastructure while remaining highly hands-on.

Develop and train scalable interpretability assistants to predict and detect subtle model behaviors. Create diverse evaluations, design novel architectures and objectives, and scale training/inference pipelines to support up to 1T‑scale models. Collaborate closely with a research team and contribute to high-impact evaluations used for industry standards and regulation.

Design and implement scientifically valid automated evaluations of frontier AI systems, focusing on impacts to user wellbeing, autonomy, mental health, and decision-making. Develop user simulators, LLM-as-a-judge pipelines, evaluation rubrics, and population-specific methods. Collaborate with research engineers, scientists, frontier AI labs, regulators, domain experts, and affected communities to improve evaluation realism, measurement, and oversight.

The AI Behavior Engineer will measure and shape AI model behaviors, collaborating with stakeholders to conduct evaluations and adapt methods for various contexts.

The Full-Stack Product Engineer will design, develop, and maintain AI product interfaces, backend systems, and APIs while engaging with stakeholders.

The AI Systems Engineer will design and develop a core ML stack, solve technical challenges across verticals, ensure code quality, and lead the team in building impactful AI systems.

The VP of Engineering will build the engineering function for growth, ensuring technical excellence, managing teams, and aligning goals across the organization.