Artificial Analysis
Technology
SeniorAI/MLEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior AI / ML Engineer at Artificial Analysis. Skills: AI benchmarking, ML engineering, Data analysis, Backend systems. Lead development benchmarking stack. Optimize benchmarking stack”
Industry & Context.
Problem-solving skills; Distill complex concepts
What They're Looking For.
Must Have
3+ years software engineering, Proficiency Python libraries, Proficiency AI APIs, Familiarity cloud infrastructure, Familiarity orchestration tools, Familiarity monitoring tools, Experience visualizing data, Experience presenting data, Problem-solving skills, Distill complex concepts, Excellent communication skills, Excellent collaboration skills, Lead projects independently, Bachelor's or Master's
Nice to Have
Experience AI/ML frameworks, Experience PyTorch
What You'll Do.
Lead development benchmarking stack
Optimize benchmarking stack
Design backend systems
Drive projects concept to shipped
Implement Python solutions
Design user interfaces
Implement data visualizations
Conduct custom analyses
Provide actionable insights
Contribute benchmarking methodologies
Develop evaluation methodology
Embrace AI-native workflow
How You'll Work.
Team & Collaboration
Work with founders; Cross-functional teams
Communication Scope
Presenting data; Actionable insights
Process & Methodology
Lead projects
Full Job Description
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. 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 35+, on track to triple by year end, backed by Nat Friedman (Github, Meta), Daniel Gross (SSI), Andrew Ng (Google Brain, DeepLearning.ai http://DeepLearning.ai, Amazon), Adam D'Angelo (Quora, Poe, OpenAI), Clem Delangue (Hugging Face) and other industry leaders. THE OPPORTUNITY We're looking for an Intermediate to Senior ML Engineer to join our team and lead projects in AI benchmarking and analysis. You'll work closely with our founders to build core parts of the software stack for our early stage start-up. The coming wave of AI scaling is going to change the world in ways we don't yet understand — and we're offering a front row seat. WHAT YOU’LL DO - Lead the development and optimization of aspects of our core benchmarking stack, focusing on data intensive backend systems and APIs, and driving projects from concept to shipped - Design and implement robust Python solutions for benchmarking, model evaluation and data analysis - Design and implement user interfaces and data visualizations that distill complex AI benchmarking data into intuitive, interactive experiences for thousands of daily users - Conduct custom analyses for enterprise customers, providing actionable insights to inform their AI strategies - Contribute to the evolution of
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