Member of Technical Staff, Data and RL

We are looking for a research engineer to improve model capabilities through better data, training environments, and reinforcement learning.

You will work across data generation, environment design, and post-training, with ownership from an initial hypothesis to a measured improvement in model behavior. The work calls for strong engineering, careful experimentation, and judgment about what is worth pursuing.

You will work directly with researchers and engineers to identify capability gaps, design experiments, and bring successful results into our models.

• Build high-quality data pipelines. Develop systems for generating, curating, and validating training data. Understand how coverage, quality, and data mixtures affect learning.
• Develop training environments. Build reliable environments for multi-step tasks, with reproducible execution and useful feedback for training and evaluation.
• Improve post-training. Establish supervised baselines, run RL experiments, and investigate the effects of data, rewards, and optimisation choices.