Research Engineer

The role

You will work on training, evaluating, and serving large AI models and new inference-time compute techniques. You will also build internet-scale datasets and prototype new research and product ideas.

What you will do

• Optimize inference throughput for novel model architectures
• Contribute to frameworks used for 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

Required qualifications

• 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

Benefits

• 401(k) plan with 6% salary matching
• 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

About the company

Magic's mission is to build safe AGI that accelerates humanity's progress on the world's most important problems. The company believes the most promising path to safe AGI lies in automating research and code generation.