Member of Technical Staff - Research / Post-Training

Base: $250–320k · Equity: 0.20–0.35% · Location: San Francisco, in-person

Lead our in-house research and post-training efforts.

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Train open-source frontier models on our in-house environments to validate quality and build research insights.

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Lead our public-facing benchmark and leaderboard efforts for frontier models.

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Publish findings in blogs and papers to share with the broader research community.

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Contribute to core platform engineering as needed — AI tooling, data collection pipelines, partnering with environment and reward designers.

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Build our engineering team culture from the ground up.

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