Software Engineer, ML Infrastructure

Snap Inc.

Software Engineer optimizing ML Infrastructure for Snap Inc. Focus on reliability and efficiency in machine learning systems and AI model serving.

Posted 6/16/2026full-timeBellevue • California, 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
Proven track record of operating highly-available systems at significant scale
Ability to collaborate and work well with others
Ability to proactively learn new concepts and apply them at work
Adaptability in learning and applying evolving AI systems and tools to remain at the forefront of engineering trends and modern development practices.

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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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learninginfrastructure systemsfeature generationdata management systemshigh-performance inference systemsPythonJavaScalaC++big data processing

Soft Skills

problem-solvingcollaborationadaptabilityproactive learning

Certifications

Bachelor's degreeMaster's degreePhD