Write maintainable, scalable javascript for a real-time SaaS application (GraphQL, Relay experience is a plus)
Design domain / object models and work with analytical data stores to create critical MLOps functionality
Design and build out performant and reusable react components that will be used throughout the application
About You:
You've had some practical experience writing client-side JavaScript
You've built and debugged complex systems in a team environment
You can to take on product ownership and push features over the line
You work collaboratively with product and design to flesh out requirements
You care about UX and design
You have building responsive layouts with CSS and HTML
You have strong communication, collaboration, and problem-solving skills
Bonus Points, But Not Required
Experience working on enterprise products
Statically typed JavaScript (Typescript, Flow, or other)
Optimizing the performance of large-scale, high-volume systems
Accessibility, internationalization, localization
Experience with React or comparable modern frontend library
Experience using GraphQL or a comparable API technology
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.
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