Senior Fullstack Engineer, Arize AI
$125-225k
Machine learning observability platform
Job no longer available
Machine learning observability platform
21-100 employees
Job no longer available
$125-225k
21-100 employees
Company mission
To make the world’s AI work and work for the people.
Role
Who you are
- 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
Desirable
- 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
What the job involves
- 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
- Collaborate with our product, design, and our backend engineering teams to iterate on client specific use cases in order to improve overall usability
- Contribute to design & code reviews and technical documentation
Our take
Machine learning is rapidly becoming a fundamental and mainstream automation tool used across many industries. The issue, however, is that monitoring, assessing, and improving ML models is costly, and especially tricky without monitoring capabilities. It’s created a market demand for ML monitoring tools, and Arize’s platform offers a rich suite of them.
The Arize platform gives developers and operators comprehensive oversight of their models with tools including performance tracing, drift detection, and integration and deployment. This provides a crucial guardrail: as more decision-making is handed over to ML in areas like insurance and loans, poor ML model performance can have a catastrophic effect on both individuals and customers alike.
Remarkably, given this development, ML observability platforms aren’t yet in huge supply. Arize startup rivals like Censius and WhyLabs are making strong headway, but a clear winner has by no means yet emerged. Arize has, however, netted some major customers: Spotify, Instacart, Uber, and P&G are a handful of the major clients that will help it lay a strong foundation in what is anticipated to be a highly lucrative market.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
23% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Sep 2022
$38m
SERIES B
Sep 2021
$19m
SERIES A
Total funding: $61m
Company benefits
- Remote work
- Open PTO policy
- Health, dental, vision insurance
- 401K
- Company wellness days
- Coworking
Company values
- Do > Say - We believe in building, not just talking. Execution matters more than meetings, and progress beats process. Instead of endless debate, we prototype. Instead of bureaucracy, we ship. AI moves fast—so do we.
- N+1 - Good enough isn’t good enough. We believe in continuous improvement—whether it’s improving AI-powered systems, our product, or ourselves, there’s always a better version to build, iterate, and level up.
- Bring Solutions - Spot a problem? Own it. We don’t waste time on complaints or excuses—we focus on fixing, improving, and building. Whether it’s a blocker in a project or a gap in how we work, the expectation is simple: push for a better way forward.
Company HQ
Berkeley, CA 94704
Articles
Leadership
Jason Lopatecki
(Co-Founder & CEO)Previously a System Architect at Calix, before they moved on to found and serve as CSO/CIO at TubeMogul for over a decade.
Aparna Dhinakaran
(Co-Founder & CPO)Has held Software Engineer roles at both Dote and Apple, and worked on Machine Learning at TubeMogul and Uber. Also co-founded and served as CEO at Monitor ML, and is additionally a columnist at Forbes.
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