Lead ML Engineer - Scalable Production Systems

iHerb, LLC; United States; Remote; USD 205,000 - 230,000; Full time

Job summary

iHerb, LLC is seeking a Machine Learning Engineer to design and implement scalable ML systems and platforms that impact millions of users. You will work closely with data scientists, applied scientists, and software engineers to deliver predictive models and ML-driven products that streamline customer experiences and automate core business processes.

In this role, you will partner with the Data Platform team to share best practices, build reusable abstractions, and scale ML pipelines.

Qualifications

• Minimum 2 years in applied ML or ML systems.
• At least 1 year in ML engineering or related role.
• Bachelor's degree in CS, EE, or related field; Masters preferred.

Responsibilities

• Develop scalable ML systems and platforms.
• Collaborate with data scientists, applied scientists, and software developers.
• Partner with Data Platform team to apply best practices.
• Deliver ML solutions to improve customer experience and automate processes.
• Ensure models deploy to production with high availability.

Skills

Java

C#

Python

Big data

Messaging systems

CI/CD

Cloud basics

Education

Bachelor's Degree in Computer Science or related field

Masters Degree preferred

Tools

Docker

Kubernetes

Git

Unit testing

Job description

iHerb, LLC is seeking a Machine Learning Engineer to design and implement scalable ML systems and platforms that impact millions of users. You will work closely with data scientists, applied scientists, and software engineers to deliver predictive models and ML-driven products that streamline customer experiences and automate core business processes.

In this role, you will partner with the Data Platform team to share best practices, build reusable abstractions, and scale ML pipelines.