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Snap Inc.

Staff Software Engineer, ML Infrastructure

Snap Inc.

Staff Software Engineer optimizing ML Infrastructure and embedding generation systems at Snap Inc. Enhancing model performance and developing data storage solutions for efficient ML operations.

Posted 6/24/2026full-timeBellevue • California, Washington • 🇺🇸 United StatesLead💰 $229,000 - $343,000 per yearWebsite

Tech Stack

Tools & technologies
Distributed SystemsJavaPythonScala

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
  • Develop high-performance embedding generation / batch inference systems to improve model performance
  • Develop high-performance data storage/compute systems to improve the efficiency of our ML infrastructure
  • Integrate state of the art ML data quality system to assure model performance
  • 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
  • 9+ years of post-Bachelor’s software development experience; or Master’s degree in a technical field + 5+ years of post-grad software development experience; or PhD in a relevant technical field+ 2+ years of post-grad software development experience
  • 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
  • Proven track record of operating highly-available systems at significant scale
  • Ability to proactively learn new concepts and apply them at work
  • Proficiency in, or a strong aptitude for, leveraging AI tools to streamline development.

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 learning systemsdistributed systemsbig data processingdata management systemsembedding generationbatch inference
Soft Skills
problem-solvingfocus on system performancescalabilityefficiencyproactive learning
Certifications
Bachelor’s degreeMaster’s degreePhD