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Jobs at Magic

7 open roles read nightly from companies’ own hiring pages. Each one links to the original ad.

1–7 of 7 jobs

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  • Magic · San Francisco, California, United States

    On-siteFull-timeLead / staff$225K – $550K a yearSecurity

    As a Security Engineer at Magic, you will build the software, automation, and infrastructure that protect our models, systems, and engineering organization from both traditional and frontier AI cyber threats. You will respond to security threats, help us build good practices…

  • Magic · San Francisco, California, United States

    On-siteFull-timeLead / staff$275K – $550K a yearData & AI

    As a Research Engineer on the Pretraining Systems team, you will design and operate the distributed infrastructure that trains Magic’s long-context models at scale.

  • Magic · San Francisco, California, United States

    On-siteFull-timeLead / staff$275K – $550K a yearData & AI

    As a Research Engineer on the Inference & RL Systems team, you will design and operate the distributed systems that serve our models in production and power large-scale post-training workflows.

  • Magic · San Francisco, California, United States

    On-siteFull-timeLead / staff$275K – $550K a yearScience & research

    As a Research Engineer on the RL Research & Environments team, you will design and operate the data, evaluation, and environment systems that improve model capabilities after pretraining.

  • Magic · San Francisco, California, United States

    On-siteFull-time$100K – $550K a yearData & AI

    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…

  • Research Engineer

    33 months ago

    Magic · San Francisco, California, United States

    On-siteFull-time$275K – $550K a yearEngineering

    As a Research Engineer, you’ll work on training, evaluating, and serving large AI models and new inference-time compute techniques, build internet-scale datasets, and help prototype new research and product ideas.

  • Magic · San Francisco, California, United States +1

    On-siteFull-timeLead / staff$275K – $550K a yearData & AI

    As a Kernel Engineer, you will design, implement, and maintain high-performance kernels to optimize throughput and latency during training and inference.

Updated 06 Nov 2026 09:37 UTC from the OptiTalent job library.