Full-Time
Confirmed live in the last 24 hours
AI observability and model evaluation platform
$125k - $225kAnnually
Mid, Senior
Remote in USA
The company is fully remote, but has offices in New York City and the San Francisco Bay Area. There is a WFH monthly stipend for employees working remotely.
You match the following Arize AI's candidate preferences
Employers are more likely to interview you if you match these preferences:
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 systems' effectiveness and reliability.
Company Size
51-200
Company Stage
Series B
Total Funding
$59.3M
Headquarters
Berkeley, California
Founded
2020
Help us improve and share your feedback! Did you find this helpful?
Health Insurance
Dental Insurance
Vision Insurance
401(k) Retirement Plan
Unlimited Paid Time Off
Parental Leave
Mental Health Support
Flexible Work Hours
Arize AI is named an Emerging Leader in the Generative AI engineering gartner(r) Emerging Market quadrant.
Arize AI now offers an integrated development experience on Microsoft Azure AI Foundry portal, SDK, and Command Line Interface (CLI). CHICAGO, Nov. 19, 2024 /PRNewswire/ -- Arize AI, a leader in AI observability and LLM evaluation, debuted a deeper collaboration with Microsoft and a raft of new integrations at Microsoft Ignite today. The updates come at a critical inflection point for enterprise adoption of generative AI. Despite the fact that most enterprises are planning production deployments of LLMs, over half still cite issues like data privacy and difficulty pinpointing issues (i.e. accuracy of responses) as barriers standing in the way of moving from prototype to successful real-world deployment
Arize AI, Inc is excited to announce the release of AI Search V2, packed with new features and improvements designed to enhance the user experience.
Arize AI recently rolled out EU data residency for all users, enabling customers to host their data within the European Union.
Industry-first AI assistant for troubleshooting AI and other new updates promise to speed development for AI engineersSAN FRANCISCO, July 11, 2024 /PRNewswire/ -- Arize AI, a pioneer and leader in AI observability and LLM evaluation, today debuted new capabilities to help AI developers evaluate and debug LLM systems. The premiere is one among many taking place at the Arize:Observe conference today, where speakers – including OpenAI, Lowe's, Mistral, Microsoft, NATO, and others – are sharing the latest research, engineering best practices, and open source frameworks.Arize Copilot – the industry's first AI assistant to troubleshoot AI systems – is a new tool that surfaces relevant information and suggests actions in the Arize platform, automating complex tasks and taking actions to help AI engineers save time and improve app performance. Examples where the AI Copilot can help out of the box include getting model insights, prompt optimization, building a custom evaluation, and AI search."Using AI to troubleshoot complex AI systems is a logical next step in the evolution of building generative AI applications, and we are proud to offer Arize Copilot to teams that want to improve the development and performance of LLM systems," said Aparna Dhinakaran, Chief Product Officer and Co-Founder of Arize.Other new workflows debuting today in the Arize platform promise to help engineers find issues with LLM apps once they are deployed. With AI search, for example, teams can select an example span and easily discover all similar issues (i.e. finding all data points where a customer is frustrated). Teams can then save those data points into a curated dataset to apply annotations, run evaluation experiments, or kick off fine-tuning workflows.Altogether, the updates make Arize a powerhouse for experimentation as well as production observability