Senior Research Engineer

About the Role

At Watney, research engineers decide what our models learn to do next, and a live fleet of robots is the only test that counts. The plan is a staged path from imitation learning toward broader generalization, with each stage expected to yield a working model before the next one starts.

You will help set that path: which method to try, and whether a result actually holds up outside a benchmark.

What You’ll Do

• Decide which training method to try next as the model roadmap advances.
• Design the evaluation that tells you whether a result generalizes or just fits the case it was built for.
• Turn a promising result into something that runs on the fleet, working with the team that owns training and serving infrastructure.

You May Be a Good Fit If You:

• Have taken a training idea from a paper or a prototype to a result that held up outside a benchmark.
• Have worked with imitation learning, reinforcement learning, or a similar method for control, and can describe how you knew it was working or wasn't.
• Are comfortable when no method is settled yet and you are one of the people deciding it.
• Write production ML code (Python, PyTorch, etc.).