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Snap Inc.

Software Engineer, ML Infrastructure

Snap Inc.

Software Engineer optimizing machine learning infrastructure for Snap Inc. in the United States, collaborating on large-scale systems for AI model serving and training.

Posted 5/29/2026full-timeCalifornia, Washington • 🇺🇸 United StatesJuniorMid-Level💰 $157,000 - $235,000 per yearWebsite

Tech Stack

Tools & technologies
CloudDistributed SystemsJavaPythonRayScalaSpark

About the role

Key responsibilities & impact
  • 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 high-performance inference systems to ensure fast and efficient AI model serving
  • Build 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

Requirements

What you’ll need
  • Bachelor’s degree in a technical field such as computer science or equivalent experience
  • 2+ years of post-Bachelor’s software development experience; or Master’s degree in a technical field + 1+ year of post-grad software development experience; or PhD in a relevant technical field
  • Experience building large scale production machine learning systems, distributed systems or big data processing
  • Strong programming skills in Python, Java, Scala or C++
  • Strong problem-solving skills with a focus on system performance, scalability, and efficiency
  • Good understanding of distributed systems and the infrastructure components of large-scale ML
  • Experience with big data processing frameworks such as Spark, Flink, or Ray

Benefits

Comp & perks
  • paid parental leave
  • comprehensive medical coverage
  • emotional and mental health support programs
  • compensation packages that let you share in Snap’s long-term success

ATS Keywords

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Hard Skills & Tools
PythonJavaScalaC++machine learningdistributed systemsbig data processingSparkFlinkRay
Soft Skills
problem-solvingfocus on system performancescalabilityefficiency
Certifications
Bachelor's degreeMaster's degreePhD