ML Engineer, Forward Deployed

A senior forward-deployed ML role: you'll take Prior Labs' tabular foundation models (TabPFN) into strategic customers' environments - integrating them into real platforms and pipelines, doing the hands-on data science to prove value, and owning the implementation through to production.

What you'll do:

• Integrate: Embed our foundation models into customer platforms, cloud environments, and ML pipelines.
• Do the Data Science: Frame the problem on real, messy data, engineer features, model it, and benchmark rigorously against the customer's current baseline.
• Own Delivery: Carry use cases end-to-end - from first conversation to a reliable, documented production solution you stand behind.
• Partner Deeply: Work with customer data science and ML teams as a peer, earn their trust, and make them faster with our models.
• Tailor & Optimize: Customize models for diverse use cases, trading off performance, latency, scale, and cost.
• Close the Loop: Turn deployment insights into sharp, prioritized feedback that shapes the model and product roadmap.

Full details and application on the official Prior Labs careers page.