Infrastructure Engineer, Arize AI
$125-225k
OTE
+ Equity
Machine learning observability platform
Be an early applicant
Machine learning observability platform
21-100 employees
Be an early applicant
$125-225k
OTE
+ Equity
21-100 employees
Company mission
To make the world’s AI work and work for the people.
Role
Who you are
- 3+ years of experience building scalable infrastructure and developer tools, ideally in an open-source context
- Strong understanding of the open-source development lifecycle and community dynamics
- Expertise in Kubernetes, Terraform, and other modern infrastructure tools
- Familiarity with build tools like Bazel and CI/CD systems
- A pragmatic approach to solving problems and prioritizing impactful solutions over trends
- Experience working with AI frameworks, LLM integrations, or observability platforms is a plus
- Familiarity with Go, Python, and some TypeScript is a plus
What the job involves
- 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 AI is the leading AI observability and evaluation platform, helping 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 — and we’re inviting you to join us on this mission
- 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 Typescript libraries as well as an enterprise platform
- Arize Phoenix has hundreds of thousands 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
- You will focus on designing, building, and scaling the infrastructure that powers Arize’s platform services
- You will work directly with our open-source team to ensure the Arize Phoenix’s robustness, scalability, and accessibility for developers worldwide
- This is a unique opportunity to contribute to foundational infrastructure that will shape the way organizations observe and evaluate AI systems
- Collaborate with internal teams and the open-source community to architect and scale infrastructure that supports Arize Phoenix’s growth
- Enable and enhance Phoenix’s SaaS capabilities by building out features such as central authentication, data retention, and capacity scaling
- Build out a robust set of infrastructure tools and services that alleviates the operations across the suite of Arize's product offering
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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