Senior ML Software Engineer, Advertising Platform

yelp; Saint Paul (MN); On-site; USD 55,104,000 - 82,656,000; Full time

Job summary

Yelp is seeking a Senior Software Engineer (Machine Learning) to join the Advertising team in the USA, focusing on optimizing ad budgets across channels. The role emphasizes production ML planning, scalable systems, and collaboration with data scientists and ML platforms.

A Bachelor’s degree is required, and multiple years of ML experience are preferred. The team values collaboration, mentorship, and rapid impact, with an emphasis on solving complex problems for local businesses using

Qualifications

• Several years of experience developing machine learning, statistical, or model-based optimization features.
• Proficiency in Python with data-science libraries (pandas, NumPy, scikit-learn, XGBoost).
• Experience with Spark, AWS, and microservices (Docker, Kubernetes).
• Ability to work in a fast-paced, high-impact environment.

Responsibilities

• Add in production planning based on machine learning, statistical models and optimization developed by data scientists.
• Develop and maintain reliable, scalable and scalable solutions.
• Partner with our ML Platform team to ensure your team and team are using Yelp's ML tools efficiently and based on best practices.
• Help shape the future of ML on Yelp by providing valuable feedback and contributing to tool improvements.
• Manage and direct software development projects.
• Act as a bridge between applied and data scientists and back-end engineers.

Skills

Python

Spark

AWS

Docker

Kubernetes

pandas

NumPy

scikit-learn

XGBoost

Machine Learning

Education

Bachelor's Degree

Job description

Yelp is seeking a Senior Software Engineer (Machine Learning) to join the Advertising team in the USA, focusing on optimizing ad budgets across channels. The role emphasizes production ML planning, scalable systems, and collaboration with data scientists and ML platforms.

A Bachelor’s degree is required, and multiple years of ML experience are preferred. The team values collaboration, mentorship, and rapid impact, with an emphasis on solving complex problems for local businesses using