Research Engineer
Magic · San Francisco
CHECKED 7H AGO
Frontier labonsite$275k–$550k
At a glance
Highlights
- Train trillion-parameter models on large GPU clusters
- Optimize inference throughput for novel model architectures
- Build internet-scale data pipelines and crawlers
What they offer
- Equity compensation in addition to salary
- 401(k) plan with 6% salary matching
- Health, dental and vision insurance for you and your dependents
- Unlimited paid time off
- Visa sponsorship and relocation stipend to SF
Ideal candidate
A hands-on builder with deep ML curiosity and grit who loves prototyping research ideas and shipping large-scale systems to advance safe AGI.
Requirements
- Strong general software engineering skills
- Thorough knowledge of the deep learning literature
- 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
- visa sponsorship
- Visa sponsorship available
Lab profile
About Magic
Building safe AGI that automates research and code generation to accelerate progress.
Known for
- Frontier-scale pre-training
- Domain-specific RL
- Ultra-long context
- Inference-time compute