Magic
Member of Technical Staff, Inference & RL Systems
San Francisco · Staff+
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
This range already reaches Level IV — the maximum four lottery entries.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- This role sits at the boundary between model execution and distributed infrastructure.
- You will work on systems that determine inference latency, throughput, stability, and the reliability of RL and post-training training loops.
- Magic's long-context models introduce demanding execution constraints: KV-cache scaling, memory pressure under long sequences, batching trade-offs, long-horizon trajectory rollouts, and sustained throughput under real-world workloads.
Responsibilities
- 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.
- You will own the infrastructure that makes both production inference and large-scale RL iteration fast and reliable.
- Design and scale high-performance inference serving systems
- Build and maintain distributed RL and post-training infrastructure
- Collaborate with Kernels and Research to align execution systems with model architecture
Requirements
- Experience debugging performance issues in production ML systems
- Ability to reason about system-level trade-offs between latency, throughput, and cost
- Track record of owning critical production infrastructure
Compensation
- Equity is a significant part of total compensation, in addition to salary
- 401(k) plan with 6% salary matching
Benefits
- Equity is a significant part of total compensation, in addition to salary
- 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
Company info
- Magic's mission is to build safe AGI that accelerates humanity's progress on the world's most important problems.
Visa & Work Authorization
- Visa sponsorship and relocation stipend to bring you to SF, if possible
This listing is sourced directly from Magic's careers page and normalized into a canonical job model.