Arize AI is an AI observability and large language model (LLM) evaluation platform that helps organizations monitor, analyze, and optimize their machine learning models. By providing insights into model performance and behavior, Arize enables data scientists and engineers to improve accuracy, reduce bias, and enhance decision-making processes. The company's distinctive focus on LLM evaluation sets it apart in the AI industry, offering a comprehensive solution for managing complex language-based applications.
Open Positions
Content and Social Media Contractor
Marketing expertise & a good understanding of LLMs. Must be a skilled editor and writer capable of writing in AP Style. Experience with Wordpress/Hubspot preferred
AI Application Engineer
2-5 years of software experience. Proficient in Python/Golang, generative AI, OpenTelimetry, and AI frameworks. Strong debugging and problem-solving skills are essential
AI Solutions Engineer
2-5 years of experience as a Data Scientist, Machine Learning Engineer, or Engineer working with ML models or GenAI applications in production. Proficiency in a programming language and strong communication skills
AI Engineer - Instrumentation
3-5+ years software dev exp, Python/TypeScript expertise, and a passion for AI/LLMs. Strong analytical skills and a deep interest in emerging technologies are also needed
AI Solutions Manager
3+ years of experience as a Customer Success Manager in SaaS, self-starter mindset, strong organizational and communication skills
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Experience, education and specific skills not specified
AI Product Engineer, New Grad
Bachelor's degree in Computer Science or related field, experience with GraphQl or comparable API technology, working knowledge of Machine Learning and/or Data Science
Senior AI Product Engineer - Fullstack
5+ years of frontend experience, previous experience debugging complex systems, and enthusiasm for AI and LLM ecosystem
Senior AI Product Engineer, Backend
5+ years of experience in high-performance backend systems and experience with Go, Python, TypeScript/Node, Java, or similar languages
Engineering Manager, Event Platform
Lead a team of engineers building distributed systems. Drive architectural decisions and design storage/query engines. Focus on performance, scalability, and reliability
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