Magic
Research Engineer
$275K–$550K
San Francisco · On-site · Full-time · Posted Jan 24, 2024
- Visa sponsorship
- Visa sponsorship and relocation stipend to bring you to SF, if possible
About the job
Train, evaluate, and serve large AI models while developing inference techniques, data pipelines, and research prototypes.
What you'll do
- Optimize inference throughput, contribute to research and production frameworks, and train large models on GPU clusters.
- Curate post-training datasets and build internet-scale data pipelines and crawlers.
- Design and optimize model architectures and contribute research on long-context, inference-time compute, and RL.
What they ask for
- Strong general software engineering skills and thorough knowledge of deep learning literature.
- Experience with pre- and post-training of LLMs.
- Ability to develop and evaluate research ideas.
- Experience with large distributed systems and large ETL workloads.
Pay
$275K - $550K USD base salary
Tools
LLMs, GPU clusters, ETL
AI focus
Train and serve large AI models; develop inference-time compute techniques and research in long-context, RL, and model architectures toward safe AGI.
Model-written summary · the original posting is authoritative