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Oath Technologies in Berkeley, CA seeks Research Engineers to build and apply formal methods tools for AI oversight. You will work in a fast-paced, collaborative team that blends research and engineering, developing scalable verification solutions and proving new approaches on challenging problems.
You will contribute to tool design, testing, and deployment, while learning quickly and expanding your expertise in verification, programming languages, and AI risk mitigation.
Oath Technologies is a new research organization building tools for oversight of advanced AIs. As AIs become more powerful, it will become more difficult to understand and monitor their behavior. Oath is building oversight tools based on formal verification: rather than monitor AIs directly, humans define unambiguous rules, and AIs must provide trustworthy mathematical evidence of compliance. In this way, Oath will help keep humans safe and in control as AI advances.
Oath is a Focused Research Organization (FRO) incubated and fiscally sponsored by Convergent Research. Convergent has incubated 12 FROs spanning mathematics, astrophysics, neuroscience, climate, biology, and AI, including the Lean FRO (formal mathematics and verification) and E11 Bio (whole-brain circuit mapping). Oath is led by CEO Dr. Mike Dodds, and is based in Berkeley, CA.
Oath's research engineers will build novel formal methods tools and apply them at scale to AI oversight problems. To do this, we are hiring both formal methods specialists and engineers with skills such as developer tools, scalable testing, agent development, AI/ML, and others that complement Oath's mission. Engineers may have skills in one or several areas, and our team will be tightly integrated, with both categories working together.
Oath will target very difficult verification and oversight problems, far beyond previous formal verification projects in scale and complexity. Oath's research team will work iteratively, building tools, testing them on our flagship problems, identifying failures, and then feeding those back into our tool designs.
We plan to build an Oath team of around six people by the end of year one, growing to a steady state of around twelve people by year three. Oath's roadmap runs for five years, and we’ll set more ambitious targets as the outcomes of our work and changes in the profile of AI risk evolve. This is a strong fit for people who want to tackle complex, high-stakes challenges in a nimble, collaborative organization.
Oath's current plan is to build tools across three families: design (authoring new specifications), lifting (extracting specifications from existing systems that have none), and audit (stress-testing specifications for gaps or adversarial manipulation). We're applying these to a first flagship target, verified agent containment: proving that an AI agent can't escape the permissions and sandboxing meant to bound it, from the OCI container runtime down to Linux kernel isolation primitives. Most of this work will be done in Lean or adjacent formal-verification infrastructure, with AI agents doing much of the day-to-day drafting and proving under close review.
We are committed to creating an inclusive and diverse workplace where everyone has the opportunity to thrive. We believe in hiring individuals based on their unique talents—not on race, color, religion, ethnicity, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other characteristic protected by law or our company policies. We are more than a proud Equal Employment Opportunity employer. Our goal is to foster a healthy, safe, and respectful environment where all employees are valued and treated with dignity. Harassment of any kind is not tolerated here.