Software Engineer, Arize AI
Infrastructure
$125-225k
+ Equity
Machine learning observability platform
Open for applications
Machine learning observability platform
21-100 employees
Open for applications
$125-225k
+ Equity
21-100 employees
Company mission
To make the world’s AI work and work for the people.
Role
Who you are
- 5+ years of experience building infrastructure and developer tools
- A focus on user needs over technology preferences
- Proven track record of improving developer productivity through pragmatic solutions rather than chasing trendy technologies
- Strong empathy for engineering teams' pain points and ability to prioritize impactful solutions over theoretical perfection
- Working knowledge of Kubernetes, Terraform, Bazel
What the job involves
- As our Infrastructure Software Engineer reporting directly to the CTO, you'll be at the forefront of designing and implementing the systems that power our platform's rapid growth
- This is a unique opportunity to shape the foundation of a product that's becoming essential for AI teams across the world
- We're seeking an exceptional Infrastructure Software Engineer who can thrive in a fast-paced environment and has a proven track record of building scalable systems
- You'll be a key player in our engineering organization, working directly with the CTO to architect and implement solutions that support our platform's exponential growth
- Partner closely with engineering and security teams to architect and scale our infrastructure, supporting Arize's hyper-growth trajectory
- Design and develop the necessary infrastructure for AI fine tuning workloads
- Design and develop best-in-class tooling for internal systems observability and security
- Lead system optimization initiatives including capacity planning, configuration management, and performance tuning
- Create and maintain productivity tools and frameworks that increases engineering velocity and decreases operational toil
- Optimize infrastructure costs while maintaining high performance
- Drive technical decisions that impact our entire infrastructure stack
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
Company
Funding (last 2 of 3 rounds)
Sep 2022
$38m
SERIES B
Sep 2021
$19m
SERIES A
Total funding: $61m
Company benefits
- Remote work opportunities
Company values
- Integrity - Do what you say, say what you do
- Balance - Hold space for what matters to you
- Candor - Be open, be honest, be constructive
- Humility - Keep a learning mindset
Company HQ
Mill Valley, CA
Articles
Leadership
Jason Lopatecki
(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
(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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