Magic
Research Engineer
San Francisco
Sponsorship not specified$275k-$550kDetected 996 days ago
Distributed SystemsDeep LearningData EngineeringLLMsResearch
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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.
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About the role
- Train trillion-parameter models on large GPU clusters
- Curate post-training datasets to improve targeted capabilities
Responsibilities
- As a Research Engineer, you'll work on training, evaluating, and serving large AI models and new inference-time compute techniques, build internet-scale datasets, and help prototype new research and product ideas.
- Build out internet-scale data pipelines and crawlers
- Design, prototype, and optimize new model architectures
Requirements
- Experience with pre- and post-training of LLMs
- Ability to come up with and evaluate research ideas
- Experience working with large distributed systems
- Ability to handle large ETL workloads
Skills
- Contribute to frameworks used for our research and production workloads
Compensation
- Annual salary ranges between $275K - $550K based on experience
- 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.