Magic

Magic

Member of Technical Staff, Pre-training Systems

San Francisco · Staff+

Sponsorship not specified$275k-$550kDetected 231 days ago
Node.jsDistributed SystemsMachine LearningDeep LearningMLOpsResearchCommunication

Stay score

odds of building a lasting career here

58Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role78
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

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.

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H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level IV · 4×
Level I$137,0931 entry
Level II$165,1312 entries
Level III$193,1493 entries
Level IV$221,1874 entries

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.

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About the role

  • This role focuses on large-scale model training across massive GPU clusters.
  • You will work at the boundary between deep learning and distributed systems, ensuring that training runs are performant, reliable, and reproducible under extreme scale.
  • Scale distributed training across large GPU clusters (data, tensor, pipeline parallelism)

Responsibilities

  • As a Research Engineer on the Pre-training Systems team, you will design and operate the distributed infrastructure that trains Magic's long-context models at scale.
  • You will own the systems that make large-scale pre-training stable and fast.
  • Collaborate with Kernels and Research to align model architecture with systems realities

Requirements

  • Experience training large models in multi-node GPU environments
  • Experience debugging cross-layer issues in production ML systems
  • Strong ownership mindset and ability to operate critical infrastructure
  • Track record of improving performance or reliability of large-scale systems

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.