Arize AI offers a platform that explains and troubleshoots production AI.
This company operates with a remote-first culture, allowing team members to work from anywhere.
Arize AI pioneers the future of AI reliability, empowering engineers to build, monitor, and troubleshoot machine learning models and generative AI applications at scale. Our platform helps companies like Booking.com, Uber, and Siemens ensure their AI performs as expected. We unify build, test, and run in one workspace, driving performance and reliability across over 150 leading enterprises and Fortune 500 companies. With $135M in funding, we are shaping how the world's most advanced AI systems are brought to life.
Arize AI operates as a remote-first company, valuing both independent work and collaborative connection. We champion independent thinkers who challenge the status quo, turning bold ideas into reality without excessive bureaucracy. Our culture fosters building and execution, prioritizing impact over prolonged debate. We offer offices in New York City and the San Francisco Bay Area for those who prefer in-person collaboration, alongside a monthly stipend for co-working spaces for all other remote employees. Diversity and inclusion are core to our mission; we host regular chats with industry experts on responsible AI, cultivate culturally conscious events, and support an active Lady Arizers subgroup.
Our engineering team crafts systems that interact with some of the most complex software deployed in production today. We build advanced platforms for ML observability and evaluation, tackling challenges in generative AI development, real-time performance monitoring, and root cause analysis. Our technical environment involves large-scale distributed services, cloud-native architectures across AWS, GCP, and Azure, and extensive use of Kubernetes. Engineers here solve problems related to model evaluation strategies, the full ML lifecycle, and ensuring AI fairness and explainability. You'll work with cutting-edge frameworks like TensorFlow, PyTorch, Scikit-learn, Llamaindex, LangGraph, and DSPy.