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Software Engineer, ML Infrastructure, Level 5

Snap Inc.· Engineering
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Hybrid (Los Angeles)$178k - $313k + equityFull timePosted 4w ago

About the role

Role focused on scaling ML Infrastructure, optimizing AI training and inference systems, and improving Snapchat’s ranking and recommendation systems. Part of the ML Platform team building data platforms and tools for offline model training, online feature serving, data quality monitoring, feature management, and scalable storage/processing for ML growth.

Responsibilities

  • 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 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 on state-of-the-art vector search algorithms to improve the precision, recall and scalability of our retrieval systems
  • Work closely with ML engineers to deploy cutting-edge models into production

Qualifications

  • Bachelor’s degree in a technical field such as computer science or equivalent experience
  • 6+ years of post-Bachelor’s software development experience; or Master’s degree in a technical field + 5+ year 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
  • Experience with big data processing frameworks such as Spark, Flink, or Ray
  • Ability to collaborate and work well with others
  • Proven track record of operating highly-available systems at significant scale
  • Ability to proactively learn new concepts and apply them at work
  • Preferred: Masters/PhD in a technical field; Experience with ML Training platforms or optimizing AI model inference; Familiarity with ML frameworks such as TensorFlow, PyTorch, Caffe2, Spark ML, scikit-learn

Skills

Required:ProgrammingDistributed systemsBig data processingCollaboration

Benefits

  • Paid parental leave
  • Comprehensive medical coverage
  • Emotional and mental health support programs
  • Compensation packages that include equity and long-term incentives (RSUs)
  • Default 4+ days in-office policy under Snap’s “Default Together” policy
Last updated Oct 21, 2026. Interested? Apply on the company site.

About Snap Inc.

We contribute to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.

We believe the camera presents the greatest opportunity to improve the way people live and communicate.

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