Senior Full Stack Software Engineer - AI Benchmarking and Analysis

Senior Full Stack Software Engineer - AI Benchmarking and Analysis

Senior Full Stack Software Engineer - AI Benchmarking and Analysis

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Location: US (on-site in San Francisco), Australia, LATAM (remote)

About Artificial Analysis

Artificial Analysis is an independent AI benchmarking and insights company. We support engineers and companies to understand AI capabilities and make critical decisions about their AI strategies.

Our public benchmarks are trusted by tens of thousands of users every week and have been cited by publications from TechCrunch to the Wall Street Journal to the All-In Podcast (E165: 52:00 to 1:12:00 ; E167: 28:20 to 31:30 ). Our work is regularly cited by leading AI companies, with recent examples including NVIDIA , Meta , Amazon and Bytedance .

We are backed by Nat Friedman (Github, Meta), Andrew Ng (Google Brain, DeepLearning.ai, Amazon), Adam D’Angelo (Quora, Poe, OpenAI), Clem Delangue (Hugging Face) and other industry leaders.

The Opportunity

We're looking for a Senior Full Stack Software Engineer to join our team and lead full stack development projects focusing on our website, . You’ll work closely with our founders to build core parts of the software stack for our early stage start-up - if you join in the next few weeks, you’ll likely be joining a team of 25.

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 full-stack development and optimization of the Artificial Analysis website
• Work with our Typescript / Next.js stack (hosted on Vercel) to build and maintain website features, including using our PostgreSQL databases on Supabase
• Design and implement user interfaces and data visualizations that distill complex AI benchmarking data into intuitive, interactive experiences for many thousands of daily users
• Push forward our engineering practice more broadly, incorporating industry best practices into our DevOps, infrastructure management and CI/CD
• Mentor and manage a small team of developers to drive a culture of engineering excellence
• Embrace an AI-native workflow, using cutting-edge AI tools to generate leverage in a fast-changing industry

What We're Looking For

• Knowledge of modern AI and experience using LLMs
• Passion for AI and eagerness to work at the forefront of technological innovation
• The ability to balance writing maintainable code and making sound architectural decisions with the need to ship features quickly
• Strong problem-solving skills and ability to distill complex concepts into actionable insights in the face of uncertainty
• Excellent communication and collaboration skills
• Proven ability to lead projects independently in a fast-paced environment
• Preferred but not essential:
• Bachelor's or Master's in Computer Science, Engineering, or related field (eg. Physics)
• Experience with Python libraries for data analysis (eg. pandas) and AI/ML frameworks (eg. PyTorch)
• Experience visualizing & presenting data
• Creation of analytical reports

Why Artificial Analysis?

• Work with frontier AI technologies and collaborate with companies building the future of AI
• Make a significant impact in a fast-growing startup
• Competitive compensation package (including potential for equity)
• We offer flexible work arrangements, including remote and hybrid options. Our team is currently split between San Francisco, Sydney, Melbourne and LATAM (remote).

If you're excited about the challenge of building the future of AI benchmarking and analysis, we'd love to chat.

To apply for the role, please email with (1) your CV (and LinkedIn URL), (2) a brief note on why you're excited about joining Artificial Analysis, and (3) a two sentence description of your favorite AI paper or industry development from the last 6 months.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Technology, Information and Internet

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