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Key skills for this role
We are seeking a highly skilled Research Scientist/Engineer to advance the reasoning and planning capabilities of large foundation models.
In this role, you will enhance model performance across the entire development lifecycle—including data acquisition, supervised fine-tuning (SFT), reward modelling, and reinforcement learning—while driving innovations in reasoning and decision-making.
You will synthesise large-scale, high-quality datasets through rewriting, augmentation, and generation techniques to strengthen foundation models during pretraining, SFT, and RL stages.
A key part of the role involves solving complex tasks using System 2 thinking and applying advanced decoding strategies such as MCTS and A*.
You will design and implement robust evaluation methodologies, teach models to interact with external tools, APIs, and code interpreters, and build agents and multi-agent systems capable of addressing sophisticated real-world problems.
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