The Opportunity
AI is rapidly transforming the world. Whether it’s developing the next generation of human-level intelligence, enhancing voice assistants, or enabling researchers to analyze genetic markers at scale, AI is increasingly integrated into various aspects of our daily lives.
Arize is the leading AI observability and Evaluation platform to help AI teams discover issues, diagnose problems, and improve the results of their AI Applications. We are here to build world class software that helps make AI applications work better.
About Arize Phoenix
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.
Qualifications
Experience that would be helpful for this role:
- Shipped web applications or completely new product features from scratch. Have gone from prototype to production serving end users in a short amount of time.
- Shipped AI/LLM-native applications - from UX to core algorithms.
- Iterated rapidly with customers - translate user feedback into features back to proactive user discovery. Help jointly develop and iterate on product roadmap for core features.
- Worked with product and design, and also demonstrated instances of wearing the PM hat yourself to proactively scope and design features.
- Shipped applications that scaled to millions of users.
- [Bonus] machine learning experience.
Values that we look for:
- Integrity, Alignment, and Passion
- Adaptability and the ability to work with limited resources
- Intellectual Horsepower (Smart x Get Things Done)
- Level up the people around you
- Domain specific knowledge
What You’ll Work On
- [Primary] Front-end/full-stack work for our OSS offering.
- FE stack React, GraphQL, etc.
- Backend stack: Python, Nodejs, Docker, Cloud services, databases, etc. etc.
- [Secondary] General feature development, maintenance, and education for our open-source libraries (Python and Typescript)
What We’re Looking For
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 and variable compensation 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
- 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