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Research Engineer

Magic
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San Francisco$275k - $550kfull-timePosted 10mo ago

About the role

Research Engineer role at Magic focused on training, evaluating, and serving large AI models, developing inference-time compute techniques, building internet-scale datasets, and prototyping new research and product ideas.

Responsibilities

  • Optimize inference throughput for novel model architectures
  • Contribute to frameworks used for our research and production workloads
  • Train trillion-parameter models on large GPU clusters
  • Curate post-training datasets to improve targeted capabilities
  • Build out internet-scale data pipelines and crawlers
  • Design, prototype, and optimize new model architectures
  • Contribute to research across long-context, inference-time compute, RL, and more

Qualifications

  • Strong general software engineering skills
  • Thorough knowledge of the deep learning literature
  • Experience with pre- and post-training of LLMs
  • Ability to come up with and evaluate research ideas
  • Experience working with large distributed systems
  • Ability to handle large ETL workloads

Benefits

  • Annual salary ranges between $275K - $550K based on experience
  • Equity is a significant part of total compensation, in addition to salary
  • 401(k) plan with 6% salary matching
  • Generous health, dental and vision insurance for you and your dependents
  • Unlimited paid time off
  • Visa sponsorship and relocation stipend to bring you to SF, if possible
  • A small, fast-paced, highly focused team
Last updated Oct 21, 2026. Interested? Apply on the company site.
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About Magic

building safe AGI to accelerate humanity’s progress on the world’s most important problems.

Magic is an AI company that is working toward building safe AGI to accelerate humanity’s progress on the world’s most important problems.

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