Senior ML Platform Engineer – Scalable Infra

Snap; Los Angeles (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

Snap Inc. is seeking a Software Engineer to join the ML Platform Experience team in Los Angeles. You will design and optimize ML infrastructure, build high-performance inference systems, and work across online and offline data pipelines to support production models.

The role emphasizes Python and Java, distributed systems, and collaboration with ML engineers to deploy cutting-edge models while maintaining security and production-ready quality code.

Qualifications

• Bachelor's degree in a technical field or equivalent experience.
• 6+ years of post-Bachelor's software development experience or 5+ with a Master's/2+ with a PhD.
• Experience building large-scale production machine learning systems and distributed systems.

Responsibilities

• Design and optimize infrastructure systems for ML workloads at scale.
• Build and enhance feature generation and serving pipelines for online and offline data.
• Develop high-performance inference systems for AI model serving.
• Create scalable ML training, evaluation, and inference in the cloud.
• Collaborate with ML engineers to deploy models into production.
• Maintain data management systems for data collection, labeling, processing, and evaluation.

Skills

Python

Java

Distributed systems

Big data

Team collaboration

Problem solving

Education

Bachelor's degree in CS or related field

Tools

Spark

Flink

Ray

TensorFlow

PyTorch

Job description

Snap Inc. is seeking a Software Engineer to join the ML Platform Experience team in Los Angeles. You will design and optimize ML infrastructure, build high-performance inference systems, and work across online and offline data pipelines to support production models.

The role emphasizes Python and Java, distributed systems, and collaboration with ML engineers to deploy cutting-edge models while maintaining security and production-ready quality code.