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Magic's mission is to build safe AGI that accelerates humanity's progress on the world's most important problems. We believe the most promising path to safe AGI lies in automating research and code generation to improve models and solve alignment more reliably than humans can alone. Our approach combines frontier-scale pre-training, domain-specific RL, ultra-long context, and inference-time compute to achieve this goal.
About the role:
As a Software Engineer working on our post-training data infrastructure, you will write efficient and robust data pipelines and collaborate with research and Applied teams to devise strategies for gathering and maintaining specific, diverse datasets at scale.
What you might work on:
What we're looking for:
Magic values quick learning and grit, alongside skill and experience. We strive to be a place where high-potential individuals can do their best work.
Our culture:
Compensation, benefits, and perks (US):
Additional details:
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