Member of Technical Staff, RL Research & Environments
Hybrid (San Francisco, CA)$275k - $550kunknownPosted 10mo ago
About the role
Research Engineer role focused on post-training data, evaluation, and environment systems to improve model capabilities after pretraining, with emphasis on long-context models, post-training challenges, and rapid RL iteration at scale.
Responsibilities
- Design and build post-training datasets using synthetic generation, targeted data collection, and self-play
- Implement filtering, scoring, and mixture strategies for RL and post-training corpora
- Build and maintain evaluation frameworks that surface long-context failure modes
- Design reward signals and training environments for targeted capability improvements
- Run ablations across data sources, reward designs, and long-horizon task structures
- Improve reliability and observability of post-training data and environment pipelines
- Collaborate closely with Product and Research to translate capability goals into measurable iteration cycles
Qualifications
- Strong software engineering fundamentals
- Experience building or operating large-scale data or ML systems
- Ability to design and interpret experiments that measure model behavior changes
- Comfort working at the intersection of ML, data systems, and infrastructure
- Strong attention to data quality and evaluation rigor
- Track record of owning experimental or production systems end-to-end
Skills
Required:Software engineering fundamentalsLarge-scale data or ML systems
Benefits
- Annual salary range 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.
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.
AGIAI researchArtificial IntelligenceModelsResearchliquid-ai-recruiting-target
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