Member of Technical Staff (Applied AI Research) in Tipton

Location: San Francisco (on-site at our offices)

About Artificial Analysis

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. 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.

The Opportunity

Our evaluations decide how the world measures AI. This role puts you on the measurement frontier: you won’t just observe the cutting edge, your work will define what cutting edge means.

We’re hiring Members of Technical Staff (Applied AI Research) to design the evaluations that set the standard for how AI is measured: building novel benchmarks and datasets, evaluating every major model as it releases, working with the frontier labs on pre-release models before the world sees them, and publishing the analysis that labs, enterprises, media and policymakers rely on.

This is applied research with immediate industry consequence: shorter cycles than academia, more rigor than industry commentary, and a bigger audience than both. The center of the role is building: the large majority of your time goes to designing and shipping evaluations, with analysis and industry collaboration built around that work.

What You’ll Do

• Design Frontier Evaluations: Conceive, build and ship novel evaluation methodologies that advance how AI capabilities are measured.
• Build Evaluation Datasets and Infrastructure: Construct the datasets, harnesses and scoring systems behind our benchmarks.
• Evaluate Every Major Model: Run our evaluation suite across frontier releases as they land.
• Publish Influential Analysis: Produce the reports, indexes and data visualizations that shape how labs, enterprises and the broader industry understand AI progress.
• Work with Frontier Labs on Pre-Release Models: Benchmark the leading labs’ systems, including pre-release and newly launched models.
• Become AI-Native: Embrace an AI-native workflow, using cutting-edge AI tools to generate leverage in a fast-changing industry.

What We’re Looking For

We require 3+ years of relevant professional experience, across industry or research. You have an intense interest in AI, a desire to become a world expert in the field, and strong analytical and coding skills to back it up.

Beyond that bar, we hire from three backgrounds. You should clearly fit one of these profiles:

• AI and Machine Learning: Backgrounds include ML Engineer, ML Researcher, Research Engineer, AI Engineer, Forward Deployed Engineer, Technical PM, or similar roles at AI companies or AI-focused teams.
• Strategy Consulting: Backgrounds include Management Consultant, Associate, Engagement Manager, Data Scientist, or similar roles at firms like McKinsey, BCG, Bain, or equivalent.
• Technical Product Management: Backgrounds include Founding Engineer, Product Manager, Technical Co-founder, Head of Product, or generalist roles at early-stage AI companies.

Across all three profiles, we require:

• Strong analytical and critical thinking skills
• Proficiency in Python and data analysis
• Genuine, demonstrable interest and knowledge of Frontier AI.

Why Artificial Analysis?

• Shape how AI gets built: The leading AI labs track our benchmarks and use them to guide their development priorities.
• Become a world expert in AI: You will evaluate every major model, across every major capability, as they are released.
• Work with the most important players in AI: You’ll manage relationships with teams at the leading AI labs and major enterprises.
• Join at a defining moment: We’re 40+ people, on track to double by end of year.

Competitive compensation including equity.