You will shape how Kinro's systems think, reason, and improve. The research question underneath everything we do: how far can a machine be trusted to run a regulated business, and how do you prove it? You will own the full loop from hypothesis to measurement to production, working on grounded generation, compliance-aware reasoning, and multi-turn conversations about commercial insurance. This is not a role for researchers who want to stay in the lab.
WHAT YOU'LL DO
Design and run evaluations that measure what actually matters: bound policies, compliance, and customer satisfaction.
Research and implement improvements to our core capabilities.
Ensure every model update is measurable and safe to ship.
Stay current with the frontier of LLM research and integrate relevant advances quickly.
Collaborate with engineering to take research from notebook to production.
WHAT WE'RE LOOKING FOR
PhD or equivalent research experience in ML, NLP, or a related field.
A track record of shipping research into real systems. Papers are great, deployed models are better.
Deep familiarity with LLMs, fine-tuning, and evaluation methodology.
Strong Python skills; comfortable with PyTorch or JAX.
Clear thinking and clear writing. You can explain your ideas to engineers and customers alike.
NICE TO HAVE
Experience with agentic systems or tool use.
Knowledge of regulatory constraints in insurance or financial services.
Prior work at a research lab (DeepMind, Meta AI, OpenAI, etc.).