Research Engineer
Magic
- Location
- San Francisco
- Track
- AI Infrastructure
- Salary
- $275K–$550K / yr
- Posted
- January 24, 2024
- Source
- Ashby
Job description
About 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'll work on
- 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 we’re looking for
- 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
Compensation, benefits, and perks (US)
- Annual salary ranges between $275K - $550K based on experience