Startups · AI

Member of Technical Staff (Inference)

Artificial Analysis · San Francisco (On-site) · On-site

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About Artificial Analysis

Comparison and analysis of AI models and API hosting providers. Independent benchmarks across key performance metrics including quality, price, output speed & latency. Backed by AI Grant.

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. Our inference benchmarks are the industry’s reference point, and we’re hiring a Member of Technical Staff to drive them.

What they're looking for

  • You should know the inference market from the inside
  • • 3+ years of professional experience, including at least 2 years at, or working closely with, inference providers, neoclouds or teams serving models in production
  • • Strong analytical and critical thinking skills
  • • Proficiency in Python and data analysis
  • • Hands-on familiarity with the model serving stack (e.g. vLLM, SGLang, TensorRT-LLM) and inference APIs across providers
  • • Fluency in inference performance metrics and economics: tokens per second, time to first token, throughput versus latency trade-offs, cost per token
More about this role

Artificial Analysis is the leading independent AI benchmarking company. We support labs, engineers and enterprises to understand AI capabilities and make critical decisions about their AI strategies. We are the go-to authority for understanding AI, from AI labs and enterprises to media, investors, and policymakers. Our benchmarks don’t just measure the cutting edge of AI, they are actively shaping the frontier.

Our benchmarks and analysis are trusted by hundreds of thousands of users and are the go-to reference for leading AI labs including OpenAI, Google, Meta, NVIDIA and Anthropic, and major publications including the Wall Street Journal, Bloomberg, the Financial Times and The Economist.

We are a team of 40+, on track to double by end of year, backed by Nat Friedman (GitHub, Meta), Daniel Gross (SSI, Meta), Andrew Ng (Google Brain, DeepLearning.ai , Amazon), Adam D’Angelo (Quora, Poe, OpenAI), Clem Delangue (Hugging Face) and other industry leaders.

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. Our inference benchmarks are the...

Read the full posting on Artificial Analysis's site ↗

Technical Staff (incl. Product)

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