Open Source Fullstack Engineer, Arize AI
$100-185k
+ Equity Package
Machine learning observability platform
Open for applications
Machine learning observability platform
21-100 employees
Open for applications
$100-185k
+ Equity Package
21-100 employees
Company mission
To make the world’s AI work and work for the people.
Role
Who you are
- Shipped web applications or completely new product features from scratch. Have gone from prototype to production serving end users in a short amount of time
- Shipped AI/LLM-native applications - from UX to core algorithms
- Iterated rapidly with customers - translate user feedback into features back to proactive user discovery. Help jointly develop and iterate on product roadmap for core features
- Worked with product and design, and also demonstrated instances of wearing the PM hat yourself to proactively scope and design features
- Shipped applications that scaled to millions of users
- [Bonus] machine learning experience
- Taking ownership of complex problems from day one
- Putting in the extra effort to learn new technologies rapidly
- Pushing yourself outside your comfort zone regularly
- Maintain high standards of code quality despite being new to the industry
- Think critically about system and product design rather than just following instructions
- Integrity, Alignment, and Passion
- Adaptability and the ability to work with limited resources
- Intellectual Horsepower (Smart x Get Things Done)
- Level up the people around you
- Domain specific knowledge
What the job involves
- [Primary] Front-end/full-stack work for our OSS offering
- FE stack React, GraphQL, etc
- Backend stack: Python, Nodejs, Docker, Cloud services, databases, etc. etc
- [Secondary] General feature development, maintenance, and education for our open-source libraries (Python and Typescript)
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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