Remote • $0k - $0k • 0.0% - 0.0%


Role Location

  • Remote


  • $0k - $0k
  • 0.0% - 0.0%


11 - 25 people


740 Edgewood Ave
Mill Valley, CA, 94941, US

Tech Stack

  • Go
  • React
  • PostgreSQL
  • Google Cloud Platform
  • Kubernetes
  • TypeScript

Role Description

The Opportunity

AI is rapidly changing the world. From processing job applications and credit decisions, to making content recommendations and helping researchers analyze genetic markers at scale -- many aspects of our daily lives are touched by machine learned systems in some way.

Arize is the leading machine learning observability platform to help ML teams discover issues, diagnose problems, and improve the results of machine learning models. In short: we are here to build world class software that helps make AI work better.

The Team

Our engineering team builds systems that interact with some of the most complex software ever deployed in production. The team is composed of industry veterans that have built deep learning infrastructure, autonomous drones, ridesharing marketplaces, ad tech and much more.

As we continue to innovate and develop our products, you will have the opportunity to solve a wide variety of problems and situations. On a typical day, you may go from debugging a subtle issue in an open source dependency to hopping on a call with a customer to understand their workflow. All without missing a beat.

If you are an engineer who wants to work in a high velocity, no ego environment -- this is the place for you! If you are someone who wants to have total ownership over your work and be challenged to take yourself to the next level -- we want to talk to you!

The Role

What You’ll Do

Write maintainable, scalable server-side 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

What We’re Looking For

Practical experience writing client-side JavaScript Experience building and debugging complex systems in a team environment Ability to take product ownership and push features over the line Ability to work collaboratively with product and design to flesh out requirements Strong UX and design sensibilities and an interest in “sweating the small stuff” Expertise building responsive layouts with CSS and HTML Experience with modern browser technologies 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

About Arize

We are an ML observability platform for continuous model improvement

Company Culture

We believe in the power of diverse doers.

We are immigrants who want to accomplish great things; outsiders who want to take big risks to achieve the impossible; taste makers who aren't afraid of having an opinion and doing what it takes to make it happen.

All of us wear multiple hats everyday not only because we know that is what it takes to succeed, but also because it is what makes being part of a team so rewarding.

We’re striving to both recruit and retain a diverse workforce by investing in the growth of our employees, promoting an inclusive environment, and continuously iterating on ourselves and the way we work so that we can all do the best work of our careers here. Together.

At Arize AI, You will be given the agency to make a big impact. You can expect to be given the opportunity to grow the scope of your responsibility limited only by your own ambition.

You will be expected to be humble, open, collaborative, and kind. You will be expected to be maniacally empathetic of the end-user and the current problems that our world faces so that we can make AI work for the people.

Interested in this role?
Skip straight to final-round interviews by applying through Triplebyte.

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