
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.
Security Engineer
San Francisco · Posted on Aug 8, 2025
Special Projects, Research Operations
San Francisco · Posted on Jul 23, 2025
HPC Networking Lead
San Francisco · Posted on Jun 24, 2025
Software Engineer - Product
San Francisco · Posted on Jun 20, 2025
Software Engineer - Post-training Data
San Francisco · Posted on Nov 8, 2024
Distributed Systems Engineer
San Francisco · Posted on Jun 18, 2024
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San Francisco · Posted on Feb 14, 2024
Software Engineer - Supercomputing Platform & Infrastructure
San Francisco · Posted on Jan 25, 2024
Research Engineer
San Francisco · Posted on Jan 24, 2024
Kernel Engineer
San Francisco · Posted on Jan 24, 2024
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