ML Infrastructure Engineer, Content Retrieval Platform

Snap Inc.; Palo Alto (CA); On-site; USD 157,000 - 235,000; Full time

Job summary

Snap Inc. is seeking a Software Engineer for the Content Retrieval Platform team within the Content ML organization.

You will help design and operate large-scale retrieval systems, partnering with Applied ML to evolve architecture and models, using Java/Go with performance in C++. You will build and optimize ML infra, data pipelines, and high-performance services for online inference and offline training, collaborating with ML engineers to push cutting-edge models to production while upholding

Qualifications

• Strong Python/Java coding with focus on system performance.
• Experience building large-scale production ML systems and distributed apps.
• Familiar with Spark, Flink or Ray for big data processing.

Responsibilities

• Design and optimize ML infrastructure at scale for reliability.
• Build feature generation and serving pipelines for online/offline data.
• Develop high-performance inference systems for model serving.
• Enable scalable ML training, evaluation, and inference in cloud.
• Collaborate with ML engineers to deploy models in production.
• Ensure code quality, security, and production-readiness.

Skills

Python

Java

Distributed systems

Big data processing

Collaboration

Problem solving

C++

Go

Education

Bachelor's degree in CS or related field

Master's or PhD beneficial

Tools

Spark

Flink

Ray

TensorFlow

PyTorch

Job description

Snap Inc. is seeking a Software Engineer for the Content Retrieval Platform team within the Content ML organization.

You will help design and operate large-scale retrieval systems, partnering with Applied ML to evolve architecture and models, using Java/Go with performance in C++. You will build and optimize ML infra, data pipelines, and high-performance services for online inference and offline training, collaborating with ML engineers to push cutting-edge models to production while upholding