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 Research Engineer in post-training, you’ll help develop novel techniques and datasets to maximize model performance for real-world applications, leveraging data and compute at scale. Working closely with the applied team and customers, you’ll enable our models to operate with the best possible effectiveness in large, real-world codebases.
What you might work on:
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Research and develop innovative post-training techniques to improve models’ ability to leverage additional compute and data at inference
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Partner with applied teams to enhance model capabilities to generate substantial, high-quality, functional code while optimizing for an enjoyable user experience
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Improve model capabilities for generating substantial, high-quality, functional code
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Ensure seamless integration and intuitive workflows for our users
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Create and refine continuous data feedback mechanisms to drive ongoing model improvements
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Design scalable approaches to generate synthetic datasets
What we’re looking for:
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Experience with the productization and deployment of a LLM based product
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Strong general software engineering skills
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Thorough knowledge of the deep learning literature
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Experience with the post-training of LLMs
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Ability to come up with and evaluate novel research ideas
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Obsession with details, reliability, and good testing to ensure data quality and integrity
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Willingness to dive deeply into a large ML codebase to debug
Magic strives to be the place where high-potential individuals can do their best work. We value quick learning and grit just as much as skill and experience.
Our culture:
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Integrity. Words and actions should be aligned
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Hands-on. At Magic, everyone is building
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Teamwork. We move as one team, not N individuals
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Focus. Safely deploy AGI. Everything else is noise
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Quality. Magic should feel like magic
Compensation, benefits and perks (US):
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Annual salary range: $100K - $550K
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Equity is a significant part of total compensation, in addition to salary
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401(k) plan with 6% salary matching
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Generous health, dental and vision insurance for you and your dependents
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Unlimited paid time off
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Visa sponsorship and relocation stipend to bring you to SF, if possible
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A small, fast-paced, highly focused team