Research Analyst - AI Tokenomics

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

Undergrad/Masters/PhD in ML/AI or CS with focus on ML/AI

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

At SemiAnalysis, you’re placed directly inside the most important conversations shaping the future of AI and semiconductors. You’ll develop a first-principles understanding of the technical and economic dynamics behind the world’s most consequential technology, with rare end-to-end visibility across the entire stack—from silicon and systems to models, software, and real-world deployment. Our work is read and relied upon by the people allocating capital, building infrastructure, and setting strategy across the industry, giving your research and analysis real, measurable impact.

The environment is built for learning and autonomy. You’ll have the freedom to chase interesting ideas, dig into emerging trends early, and continuously expand your technical and economic toolkit, supported by generous PTO, office stipends, competitive healthcare (medical, dental, vision), and support for conferences and ongoing learning.