We hire rarely, and deliberately
Deep Transform Labs is a small bench of senior practitioners who have built and governed AI in production at complex organizations. We grow by adding exceptional people — not by filling seats. If that is the kind of team you want to work on, we would like to hear from you.
Seniority, not scale
We stay small on purpose. Every person here has shipped production systems and carried the accountability that comes with them — there are no seats to hide in.
Judgment over throughput
We are paid for the decisions we help organizations make, not the volume of work we produce. We look for people who reason carefully and say the hard, true thing.
Depth in the domain
The problems we take on live inside regulated, high-stakes operations. Real fluency in how those environments actually work is worth more than raw model expertise.
We don't always have a formal opening. When we grow, these are the profiles we reach for — but we would rather meet an exceptional person early than wait for a requisition.
The people we most often look for
Forward-Deployed Engineer
Engineers who are as comfortable in a client's operation as in a codebase — mapping decision logic, embedding with a team, and taking one workflow into live production in weeks.
- Shipped ML/AI systems that real users depended on
- Comfortable owning ambiguity and the last mile to production
- Can sit with domain experts and translate nuance into systems
The people we most often look for
AI Governance & Risk Lead
Practitioners who make AI deployable in regulated environments — designing traceability, policy alignment, and audit readiness that risk and compliance teams can actually approve.
- Worked inside or alongside regulated industries
- Fluent in auditability, model risk, and policy constraints
- Treats governance as an enabler, not paperwork
No open role that fits?
Reach out anyway.
The best people we work with rarely arrive through a job posting. If you have built something you are proud of in enterprise AI — and you care about doing it well, not just fast — send us a note and a few lines on what you have shipped. We read every one.
Work on problems that actually matter
Small team, senior bench, real production systems inside organizations that can't afford to be wrong. If that sounds right, start a conversation.