Software Engineer, ML Infrastructure, Level 4

About the role

The Software Engineer will join the ML Platform Experience team to design and operate scalable machine learning infrastructure, including feature pipelines, model training and inference systems, data management platforms, and production AI services.

Responsibilities

• Design and optimize infrastructure systems for machine learning workloads at scale and drive reliability and efficiency improvements across Snapchat’s ML Infrastructure
• Build and enhance feature generation and serving pipelines that power online inferencing and offline training data generation
• Develop high-performance inference systems to ensure fast and efficient AI model serving
• Build infrastructure to perform scalable ML model training, evaluation, and inference in the cloud
• Develop comprehensive data management systems for scalable data collection, labeling, processing, and evaluation
• Work closely with ML engineers to deploy cutting-edge models into production
• Utilize AI tools and high-velocity engineering workflows to design and ship scalable services while upholding rigorous standards for code correctness, security, and production-ready quality code