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.

Technical Sourcer
San Francisco · Posted on Jan 23, 2026

Developer Experience & Data Tooling Lead
San Francisco · Posted on Jan 19, 2026

Distributed Systems Engineer: Secure Sandboxes
San Francisco · Posted on Nov 17, 2025

Security Engineer
San Francisco · Posted on Aug 8, 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














