Senior Machine Learning Ops Engineer
Posted on 3/29/2024
INACTIVE
Klaviyo

1,001-5,000 employees

Growth marketing automation platform
Company Overview
Klaviyo's missions is to help companies retain customers and maximize their ROI. Klaviyo’s data–proven customer platform allows companies to send relevant, well–timed emails and SMS that increase lifetime values.
Consumer Software

Company Stage

N/A

Total Funding

$1.5B

Founded

2012

Headquarters

Boston, Massachusetts

Growth & Insights
Headcount

6 month growth

19%

1 year growth

35%

2 year growth

60%
Locations
Cambridge, MA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Kubernetes
Python
AWS
CategoriesNew
AI & Machine Learning
Applied Machine Learning
Deep Learning
AI Research
Operations & Logistics
Requirements
  • 4+ years industry experience in ML Ops or related spaces like data, infrastructure or platform engineering
  • Hands-on experience in shipping, monitoring, and debugging machine learning-based projects in production
  • Strong software engineering and cloud infrastructure skills with code fluency in Python (we use Python, Terraform and Kubernetes on AWS)
  • An excellent communicator and able to collaborate on complex issues with a variety of stakeholders, especially with data scientists
  • Proven experience with being a coach/mentor for team members and helping them grow
Responsibilities
  • Developing tools to train and develop models
  • Serving models in production
  • Monitoring models’ long term performance
  • Leveling up software engineering, dev ops, and DS/ML skills
  • Contributing to roadmap planning, improving team processes and collaborating with Product and stakeholder teams on design