Machine Learning Solutions Engineer, Arize AI

Salary not provided
AWS
Kubernetes
GCP
Python
R
Java
Go
Tensorflow
Azure
Scikit-Learn
PyTorch
Junior and Mid level
Remote in US
Arize AI

Machine learning observability platform

Open for applications

Arize AI

Machine learning observability platform

21-100 employees

B2BArtificial IntelligenceEnterpriseAnalyticsMachine LearningSaaSAutomation

Open for applications

Salary not provided
AWS
Kubernetes
GCP
Python
R
Java
Go
Tensorflow
Azure
Scikit-Learn
PyTorch
Junior and Mid level
Remote in US

21-100 employees

B2BArtificial IntelligenceEnterpriseAnalyticsMachine LearningSaaSAutomation

Company mission

To make the world’s AI work and work for the people.

Company mission

To make the world’s AI work and work for the people.

Led by a woman
Top investors

Few candidates hear
back within 2 weeks

23% employee growth in 12 months

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 headshot

Kirsty

Company Specialist at Welcome to the Jungle

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

Funding (last 2 of 3 rounds)

Sep 2022

$38m

SERIES B

Sep 2021

$19m

SERIES A

Total funding: $61m

This company has top investors

Leadership

Previously a System Architect at Calix, before they moved on to found and serve as CSO/CIO at TubeMogul for over a decade.

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.

Jobs (9)

All locations

Software Engineering