Open Source Staff Software Engineer, Arize AI
More information about location
Machine learning observability platform
Open for applications
Machine learning observability platform
21-100 employees
Open for applications
More information about location
21-100 employees
Company mission
To make the world’s AI work and work for the people.
Role
Who you are
- 5+ years building scalable software systems
- Strong foundation in both infrastructure engineering and application development
- Experience with Kubernetes, cloud services, and container orchestration
- Proficiency in TypeScript/JavaScript and Python
- Track record of shipping production-quality code in fast environments
- Experience contributing to open-source projects
- Ability to take complex problems from ideation to completion
What the job involves
- As a Staff Software Engineer on the Open Source team, you'll operate as a founding engineer for Phoenix – our startup within a startup
- Working directly with the head of OSS, you'll build infrastructure that powers Arize Phoenix while contributing to full-stack development of user-facing applications
- This role demands versatility – you'll tackle the entire tech stack, you could be working in Kubernetes infrastructure one day and writing core Python primitives to run massively parallel LLM eval jobs the next
- You're not just writing code but designing systems and products that will shape how organizations observe and evaluate AI
- This is NOT a role for everyone – it demands an exceptional level of drive and commitment. In return you can expect world class mentorship and opportunities to accelerate your career in the most important field in software today
- 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
- Thinking critically about system and product design rather than just following instructions
- Scaling the world class infrastructure powering Phoenix for a global developer community
- Shipping web applications and features from concept to production at startup speed
- Collaborating with the open-source community to evolve our platform
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 opportunities
- Health, dental, & vision insurance
- 401K
- One Medical
- Rightway (healthcare navigation)
- Rula (mental health and wellbeing)
- SoFi (financial wellness)
- Open PTO policy
- WFH stipend
- Professional development stipend
- Coworking allowance
- Company wellness days
Company values
- Do > Say - 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
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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