AI Engineer
BiorenderFull Time
Mid-level (3 to 4 years)
Candidates should possess experience working with GraphQl or a comparable API technology, experience working with ML, analytics, data science or data visualization products, and working knowledge of Machine Learning and/or Data Science. First-hand experience working with large language models (LLMs) or developing AI products is highly desirable.
As an AI Product Engineer, New Grad, you will be a part of the core team that drives AI product innovation at Arize, challenging yourself to understand how impactful engineering teams develop AI and LLM-powered applications, and building the right tools to enable them to do their best work. You will be involved in computing model evaluation metrics across billions of data points, creating AI Agents that help customers troubleshoot their own applications, building on top of a cutting-edge custom OLAP database, implementing advanced dimensionality reduction techniques, and building systems that handle millions of annotations per second.
AI observability and model evaluation platform
Arize AI provides a platform focused on AI observability and evaluating language models. The platform allows companies to monitor, troubleshoot, and assess the performance of various machine learning models, including those used for natural language processing, computer vision, and recommendations. Users can access analytics and workflows that help identify and resolve issues within their AI systems, ensuring optimal performance. Key features include task-based evaluations for aspects like hallucination and relevance, as well as tools for visualizing query and knowledge base embeddings to enhance retrieval accuracy. Unlike many competitors, Arize AI specifically targets the needs of top AI companies, offering tailored solutions for continuous improvement of their models. The goal of Arize AI is to empower these companies to enhance their AI capabilities through effective monitoring and evaluation.