Arize-Phoenix is looking for a Fullstack/Product engineer. We are currently an all-engineer team of 4 people. We are looking to add someone who can make an immediate impact on our team and our OSS products.
Large Language Models (LLMs) like GPT4 are capable of human and super-human reasoning, but they don’t understand your personal data, are unable to perform complex tasks, remember the actions they performed yesterday, and so on. The core mission of the Arize OSS team is to enable developers to build LLM-powered applications with safety and observability in mind.
We are at the forefront of a new way to build software. Doing this successfully will usher in a new age of knowledge automation and completely redefine the modern tech stack.
Our product offerings consist of an open-source Python/Typescript libraries as well as an enterprise platform. Arize Phoenix has 400k monthly downloads and is used from large enterprises to early-stage startups - it is both easy to get started but robust for production use. We’re backed by TCV, Foundation Capital, Swift Ventures, and Battery Ventures.
Experience that would be helpful for this role:
Values that we look for:
Benefits:
Location:
We hire exceptional candidates across the United States and have a hybrid-friendly culture. We have an office in Berkeley, CA close to public transit.
The estimated annual salary for this role is between $100,000 - $185,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support.
More About Arize
Arize’s mission is to make the world’s AI work and work for the people. Our founders came together through a common frustration: investments in AI are growing rapidly across businesses and organizations of all types, yet it is incredibly difficult to understand why a machine learning model behaves the way it does after it is deployed into the real world.
Learn more about Arize in an interview with our founders: https://www.forbes.com/sites/frederickdaso/2020/09/01/arize-ai-helps-us-understand-how-ai-works/#322488d7753c
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