Artificial Analysis |
https://artificialanalysis.ai | Multiple Roles | San Francisco preferred, remote available (Australia, NZ, LATAM) | Competitive Salary + Equity
Artificial Analysis is an independent AI benchmarking and insights provider. We benchmark AI to help engineers and companies understand AI and make informed decisions regarding which AI technologies to use. We are fast growing with a team of 25+ and have backing from investors including Nat Friedman, Daniel Gross & Andrew Ng. Our benchmarks are cited by NVIDIA, Meta, Amazon, and publications including the Wall Street Journal and TechCrunch.
We are hiring across several roles:
Member of Technical Staff: Lead projects in AI benchmarking and analysis. Design and execute evaluations of AI systems, develop new methodologies and datasets, and drive strategic analysis that helps enterprises shape their AI strategy. Technical generalist role with exposure to cutting-edge AI. Consulting and data science backgrounds preferred.
Senior AI / ML Engineer: Lead development of our core benchmarking stack, focusing on data-intensive backend systems and APIs. Design Python solutions for benchmarking, model evaluation, and data analysis. Build visualizations that distill complex AI data into intuitive experiences. 3+ years experience required, project management skills highly valued.
Full Stack Engineer: Build and maintain our benchmarking platform and communicate insights to users. Proficiency in TypeScript & Python required. Familiarity with LLM APIs preferred. Tech stack: JavaScript/TypeScript, Node.js, React/Next.js, Python.
Product Manager (AI Speech): Drive product strategy and execution for our speech evaluation platforms, including text-to-speech, speech-to-text, voice cloning, and real-time voice. Hands-on, technical role working closely with engineering and analysis teams.
Technical Marketing Manager: Own our live programs (webinars, events, conferences) and email marketing. Build and execute on our events calendar, coordinate speaker prep, and engage our 300K+ monthly audience. 3+ years B2B tech marketing experience required.
Solutions Engineer - Language Models: Run our evaluation stack for new model evaluations, debug and interpret results, and work directly with clients to share insights and answer questions. Exposure to cutting-edge AI and world-class evals.
Solutions Engineer - Image/Video: Run evaluations for image and video generation models, debug and interpret results, and support clients with benchmarking insights for media generation AI.
Apply at hiring (-at-) artificialanalysis.ai with your resume, GitHub, and bullet points on relevant experience (including anything you've built). Add | HackerNews to email subject line.