Magic

Member of Technical Staff, RL Research & Environments

San Francisco · Staff+

Sponsorship not specified$200k-$550kDetected 621 days ago

Machine LearningResearch

About the role

Magic's long-context models introduce distinct post-training challenges: long-horizon reasoning, sustained coherence over extended trajectories, context-use quality, and tool-augmented behavior.
This role can evolve into ownership of major capability areas, deeper RL systems work, or broader influence over post-training strategy as Magic scales long-context model performance and reliability.

identifying capability gaps, building targeted datasets, designing reward signals, and running iterative training loops that measurably improve user-facing behavior.
You will own the infrastructure and experimental workflows that connect product priorities to concrete capability gains.
As a Software Engineer on the RL Research & Environments team, you will design and operate the data, evaluation, and environment systems that improve model capabilities after pre-training.
You will build systems that expose failure modes, generate high-signal training data, and enable rapid RL iteration at scale.
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
Design reward signals and training environments for targeted capability improvements
Collaborate closely with Product and Research to translate capability goals into measurable iteration cycles
Hands-on. At Magic, everyone is building

Improve reliability and observability of post-training data and environment pipelines

s between $200K - $550K based on experience
Equity is a significant part of total compensation, in addition to salary
401(k) plan with 6% salary matching
A small, fast-paced, highly focused team
Magic strives to be the place where high-potential individuals can do their best work.
Integrity. Words and actions should be aligned
Annual salary range:s between $200K - $550K based on experience

Magic's mission is to build safe AGI that accelerates humanity's progress on the world's most important problems.

This listing is sourced directly from Magic's careers page and normalized into a canonical job model.