Senior Research Engineer

Watney•San Francisco, CA

About The Position

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.

Requirements

  • 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.).

Responsibilities

  • 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.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service