5+ years of experience working with high-performance backend systems
Strong experience writing Go, Python, TypeScript/Node, Java, or similar server programming languages
Enthusiasm and interest in the AI and LLM ecosystem, with a desire to learn and stay updated on emerging technologies
Previous work building and operating highly complex SaaS platforms/systems
Knowledge of working with public clouds & container orchestration - AWS, GCP, Azure, Kubernetes, etc
Experience with distributed stream processing - Kafka, Gazette, or similar
Experience with OLAP systems
Familiarity with system observability tooling like Prometheus
Working knowledge of Machine Learning and/or Data Science
First-hand experience working with large language models (LLMs) or developing AI products
The estimated annual salary for this role is between $125,000 - $225,000, plus a competitive equity package. Actual compensation is determined based on a variety of job-related factors that may include transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefits package, including medical, dental, vision, a 401(k) plan, unlimited paid time off, a generous parental leave plan, and additional support for mental health and wellness
While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces
More About Arize
Arize’s mission is to make the world’s AI work—and work for people
Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge—understanding whether AI is performing and how to improve it at scale
Diversity & Inclusion @ Arize
Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture
Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI
Culturally conscious events such as LGBTQ trivia during pride month
We have an active Lady Arizers subgroup