Member of Technical Staff

The Role

We are looking for exceptional researchers and engineers to build the core of personal AI: agents that understand a person's full context, act reliably on their behalf, and stay verifiably private. You will work on hard, open problems and ship the results to real users.

What You'll Do

• Research and build agents that understand personal context deeply and act reliably on a user's behalf.
• Design systems for memory, retrieval, and reasoning over a person's data and tools.
• Build the evals, infrastructure, and tooling that let a small team move fast.
• Make privacy and user control guarantees that people can verify.
• Take ideas from research to production, measure them with real users, and iterate.

What We're Looking for

• You have built something technically impressive that we can see: a paper, an open-source project, a system, or a product. You can explain what you personally did.
• You have a track record of excellence at top research labs, engineering teams, or academic programs. Pedigree and what you have built both matter to us.
• You have deep expertise in one or more of: LLM research, post-training and evals, agent systems, distributed systems, security and privacy, or performance engineering.
• You are exceptionally good with coding agents. They are central to how you work, and you have strong opinions about where they excel and where they fail.
• You move quickly from idea to working system and care whether it actually works for users.
• You want high ownership on a small team working on ambiguous problems.

How to Apply

• Share the most impressive thing you have built and what you personally did.
• Send links to your work: papers, GitHub, projects, or products.
• Describe how you work with agents today, including a workflow or tool you built for yourself.