Research Engineer
Magic, San Francisco
The role
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.
What you will do
- Optimize inference throughput for novel model architectures
- Contribute to frameworks used for our research and production workloads
- Train trillion-parameter models on large GPU clusters
- Curate post-training datasets to improve targeted capabilities
- Build out internet-scale data pipelines and crawlers
- Design, prototype, and optimize new model architectures
- Contribute to research across long-context, inference-time compute, RL, and more
What you need
- Strong general software engineering skills
- Thorough knowledge of the deep learning literature
- Experience with pre- and post-training of LLMs