Data & ML Researcher

About this role

You will work at the intersection of research and applied engineering, exploring how modern ML — including LLMs, reinforcement learning, and structured prediction — can power autonomous decisioning in high-stakes domains. You will own the research roadmap for one or more product surfaces, shape the experimental infrastructure, and partner with engineering to ship.

What you will do

• Design and run rigorous experiments on candidate model architectures and decisioning algorithms.
• Translate findings into production-grade prototypes and partner with MLOps to deploy.
• Read, summarize, and reproduce relevant academic and industry research.
• Build evaluation harnesses, eval datasets, and metrics that reflect real customer outcomes.
• Publish internal research notes and contribute to external publications when appropriate.

What we are looking for

• PhD or equivalent industry experience in ML, statistics, or a related quantitative field.
• Strong publication record or evidence of shipped applied-research work.
• Fluent in PyTorch or JAX; comfortable with distributed training.
• Strong software engineering fundamentals — you can take a notebook to a service.
• Clear technical writing and a habit of de-risking ideas with simple experiments first.

Nice to have

• Experience with autonomous decisioning, Bayesian inference, or causal inference.
• Hands-on experience deploying LLM-powered agents or tool-use systems.