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. In short: we are here to build world class software that helps make AI applications work better.
The Team
Our Fullstack engineering team is responsible for building highly robust, yet seamless features, to Arize AI’s main product offering. These teams bring complex ML and LLM workflows to life by allowing a variety of clients / end users to interpret, visualize, and monitor the performance of their AI and ML models, pre and post production. Our Frontend and Fullstack Engineers are tasked with creating easy-to-use data visualization and observability experiences, in close collaboration with our Product, Design, and Platform Engineering teams.
What You’ll Do
- Write maintainable, scalable server-side Javascript for a real-time SaaS application
- 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.
- Participate in or lead architectural decisions for new and existing features in collaboration with product, design and our backend teams.
- Contribute to design & code reviews and technical documentation.
What We’re Looking For
- 5+ years of frontend experience working on external user-facing UI’s - preferably in React
- Strong understanding and expertise building with client-side Javascript.
- Experience building responsive web designs using CSS, HTML.
- Previous experience debugging complex systems in a team environment.
- Strong knowledge of optimizing for performance on large-scale, high-volume systems.
- Strong sense of product ownership in order to push features over the line.
- Passion for creating beautiful UX design with the end user in mind.
- A good teammate, someone who sees supporting their team as a core part of the job.
Bonus Points, But Not Required
- Experience working with GraphQl or a comparable API technology.
- Experience working with ML, analytics, data science or data visualization products.
- Previous experience working in a startup or pre-IPO environment.
The estimated annual salary for this role is between $125,000 - $225,000, 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
What We Do
The leading machine learning observability platform for ML practitioners to detect and troubleshoot AI/ML model issues
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