AI Analyst - Reinforcement Learning (RL)

Analyze real-world AI deployment patterns across hyperscalers, enterprises, and emerging AI-native startups.

Evaluate inference-time tradeoffs across hardware platforms, model architectures, batching strategies, and serving frameworks.

Model the economic impact of latency, throughput, availability, and scaling constraints on AI product margins.

Diligence AI companies deploying models in production, with a focus on cost structure, infrastructure choices, and unit economics.

Translate deployment-level technical decisions into investment-grade economic insights.

Background in ML/AI, CS, or systems engineering (formal or self-taught).

Strong understanding of AI inference systems and production constraints.

Analytical mindset with interest in AI economics and real-world deployment.

Comfortable bridging technical depth with economic reasoning.

Full-time role based in the 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.