AI/ML Engineer

📍 Location

San Francisco, CA - Full-time, On-site

💰 Salary

$130K - $220K

📈 Equity

$60K - $120K options/year

🛂 Visa Sponsorship

Available case-by-case

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About Aurora

Aurora helps top engineers discover opportunities at some of the most ambitious startups worldwide.
We work closely with companies to identify exceptional talent and match them with roles where they can have real impact.

We are currently helping Artificial Analysis expand their team.

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About Artificial Analysis

Artificial Analysis is the leading independent AI benchmarking and insights company. They help engineers, enterprises, investors, media, and policymakers understand AI capabilities and make critical decisions about AI strategy.

Their benchmarks 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. Their work is also cited by the Wall Street Journal, Bloomberg, Financial Times, and The Economist.

Their benchmarks do not just measure frontier AI — they actively shape it.

The company was founded in 2024, has raised $3.5M, and has a team of 30+ employees across San Francisco, Sydney, and Melbourne, with plans to double by mid-year.

They are backed by Nat Friedman, Daniel Gross, Andrew Ng, Adam D’Angelo, Clem Delangue, and other leading figures in AI.

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Position

Member of Technical Staff

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What This Role Actually Is

This role is best described as an AI Evaluation Engineer / Technical Generalist. It is not a traditional software engineering role and not a pure ML research position.

It combines AI benchmarking, technical product work, strategic analysis, customer-facing collaboration, and startup execution.

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About the Role

Artificial Analysis is hiring Members of Technical Staff to design the evaluations that define how AI is measured, produce analysis that shapes how companies and the broader market understand AI, and work directly with the leading AI labs and enterprise customers who rely on their insights.

You will develop new benchmarking methodologies, manage relationships with some of the most important AI labs and enterprise customers in the world, and help drive the product direction of the platform.

The success bar for this role is becoming a world expert in modern AI technologies.

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What You’ll Do

• Design, structure, and execute projects evaluating AI systems and technologies
• Develop new benchmarking methodologies and datasets
• Build reports, strategic analysis, and data visualizations
• Collaborate with leading AI companies on benchmarking
• Improve the benchmarking platform with developers
• Operate in an AI-native workflow using cutting-edge tools
• Contribute to company strategy and lead major initiatives

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Requirements

• 2–10 years of experience in MBB consulting or technical roles (TPM, ML Engineer, etc.)
• Strong analytical ability and technical fluency in modern AI systems
• Excellent communication skills
• Ownership mindset
• Comfortable in a fast-moving startup environment

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Tech Stack

• Python

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Why Join

• Direct exposure to frontier AI systems before public release
• Work with top AI labs
• Influence how AI performance is defined
• Fast-growing, well-funded company with strong ownership opportunities

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🔑 Keywords

["AI benchmarking", "Python", "Equity options", "Visa sponsorship", "AI evaluation"]