Remote ML Engineer: Scale Next-Gen Recommendation Systems

Yelp; United States; Hybrid; USD 100,289,000 - 128,943,000; Full time

Benefits offered by this job

Stock plan

Remote work

Competitive pay

Full benefits

Job summary

Yelp is seeking a data-driven engineer to lead development of next-generation recommendation and ranking models in a remote-capable role. You will productionize models, maintain scalable systems, and collaborate with the ML platform crew to leverage Yelp’s tooling.

You will also shape the future of ML at Yelp by contributing to tool enhancements and mentoring teammates. The role emphasizes end-to-end project ownership, from data processing to deployment, with flexible remote work options and a

Qualifications

• Proficiency in Python data stack: Pandas, Numpy, Scikit-learn, TensorFlow, Keras, XGBoost.
• Experience building ML models and pipelines at scale.
• Strong understanding of ML concepts and system design.

Responsibilities

• Productionize and automate model pipelines in Python.
• Build and maintain scalable ML systems.
• Collaborate with ML platform team to use Yelp's ML tooling.
• Contribute to tools and enhancements for ML workflows.
• Lead software projects end-to-end in a fast-paced setting.

Skills

Python

Pandas

Numpy

Scikit-learn

TensorFlow

Keras

XGBoost

Spark

AWS

Docker

Kubernetes

Tools

Docker

Kubernetes

AWS

Job description

Yelp is seeking a data-driven engineer to lead development of next-generation recommendation and ranking models in a remote-capable role. You will productionize models, maintain scalable systems, and collaborate with the ML platform crew to leverage Yelp’s tooling.

You will also shape the future of ML at Yelp by contributing to tool enhancements and mentoring teammates. The role emphasizes end-to-end project ownership, from data processing to deployment, with flexible remote work options and a