[Remote] Summer Intern - AI Tokenomics
Note: The job is a remote job and is open to candidates in USA. SemiAnalysis is an independent research and analysis firm specializing in the Semiconductor and AI industries. They are hiring an AI Tokenomics Summer Intern to deepen their research into the economics of AI, contributing to the development of a Tokenomics model for understanding the economic value of AI.
Responsibilities
- Evaluate model architecture trends and innovations from the major AI research labs and the academic community that will have meaningful economic impact on the deployment of AI systems used in training and inferencing models
- Develop a comprehensive internal model for simulating training and inference efficiency across different combinations of model architecture, hardware systems, inference KPIs (ie SLA/SLOs on throughput, time-to-first-token, context window, etc.), and simulated workloads (coding, chat, document, image, etc.)
- Diligence existing and up-and-coming companies incorporating model tokens into their products, from startups to hyperscalers, across all industries and types of workloads
- Combine the multidisciplinary approach of SemiAnalysis to forecast the impact of changes in model architecture and hardware on the future of AI economics
Skills
- Undergrad or Grad Student with a demonstrated interest in understanding ML/systems engineering/AI hardware
- Self-taught, motivated analysts with strong technical background in inference economics
- Deeply analytical economic researchers with a strong desire to pioneer the study of a brand new industry
- Full-time role based in United States
Company Overview
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