Artificial Analysis, Inc.
Member of Technical Staff (Inference)
San Francisco (On-site) · Staff+
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About the role
- Language model inference is the fastest-moving market in AI: dozens of providers, constant price and performance shifts, and billions of dollars of deployment decisions riding on independent data.
Responsibilities
- Extend Our Methodology: Drive new benchmarking dimensions including cached pricing, endpoint accuracy and agentic performance, keeping our measurement ahead of how the industry deploys
- Partner with Providers: Work directly with inference providers and neoclouds to benchmark their endpoints, resolve methodology questions and shape how the market measures serving performance
- Drive Product Direction: Shape the roadmap of our inference benchmarking platform together with our engineers and pillar lead
- Become AI-Native: Embrace an AI-native workflow, using cutting-edge AI tools to generate leverage in a fast-changing industry and maintain our competitive edge in AI benchmarking
Requirements
- 3+ years of professional experience, including at least 2 years at, or working closely with, inference providers, neoclouds or teams serving models in production
- Proficiency in Python and data analysis
- Genuine, demonstrable interest and knowledge of Frontier AI.
Compensation
- Competitive compensation including equity
Benefits
- Benchmark the Inference Landscape: Own performance and price coverage of serverless API inference across the provider ecosystem, from frontier labs to specialist providers
Company info
- We are the go-to authority for understanding AI, from AI labs and enterprises to media, investors, and policymakers.
- What We're Looking For
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