Research Engineer / Scientist, Personal AGI (Model Experience)
This is an analysis of the public job description. It is not a confirmed description of this company's interview process, and no company has reviewed or endorsed it.
What the posting clearly emphasises
- Model behaviour and human-AI interaction.
- Reinforcement learning, reward models and human data.
- Evaluations feeding product-driven post-training.
What that likely means for preparation
- Behaviour is the artefact here: be able to specify intended model behaviour precisely enough that someone else could grade it.
- Reward modelling and preference data questions are likely, including where preference data misleads.
- Prepare one example where you changed model behaviour and measured whether users were actually better off.
What stays unknown about the loop
- How much taste-and-judgment discussion sits alongside technical rounds, and whether a written exercise is used.
- The round order, count and length. Postings describe the job, not the loop.
- Whether AI assistants are allowed, required or banned in any coding exercise.
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