Magic
Build aligned and more complete AI to accelerate humanity’s progress on the world’s most important problems
2 - 10
Research Engineer
March 18
🏢 In-office - San Francisco
Magic
Build aligned and more complete AI to accelerate humanity’s progress on the world’s most important problems
2 - 10
Description
• Research Engineer role working on training, evaluating, and serving large AI models • Building internet-scale dataset • Prototyping new research and product ideas • Work on distributed training, optimizing inference throughput, continual learning, implementing tool interfaces, designing new model architectures, Internet-scale data scraping
Requirements
• Bachelor’s degree in relevant field • Experience with large AI models training and evaluation • Proficiency with neural net architecture • Familiarity with reinforcement learning • Strong skills in designing and optimizing model architectures • Experience with Internet-scale data scraping
Benefits
• Benchmark-based compensation in the 75th or 90th percentile, including base salary, generous equity, and benefits • 401K with 6% match • Flexible working hours • In-person (SF or Vienna) or remote • A small, fast-paced, highly focused team
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