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# Software Engineer, ML infrastructure, Core Inference, Level 4

- **Company:** Snap Inc.
- **Location:** Palo Alto, CA, United States
- **Salary:** $157,000.0 - $235,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Big Data, Computer Programming, Distributed Systems, Python (Programming Language), Machine Learning, Tensorflow, Software Engineering, Reinforcement Learning, Pytorch, Transfer Learning, Large Language Models, Apache Spark, Scikit Learn, Information Technology, Apache Flink, Machine Learning Operations
- **Published:** October 17, 2026
- **Apply:** https://dejobs.org/x/x/8BB59774E0E04226AECB73EEFCACE833/job/

## About the Role

* Strong programming skills in Python, Java
 * 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
 * Adaptability in learning and applying evolving AI systems and tools to remain at the forefront of engineering trends and modern development practices, * 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

Preferred Qualifications:

 * Masters/PhD in a technical field such as computer science or equivalent industry experience
 * Experience working with ML Training platforms or optimizing AI model inference
 * Familiarity with ML frameworks such as TensorFlow, PyTorch, Caffe2, Spark ML, scikit-learn, or related frameworks

## Description

* Support the models powering personalized experiences across Discover, Stories, Spotlight, and other Snap products with ranking needs.
 * Optimize, export, and prepare models for efficient production use while working across training and inference.
 * Own the infrastructure used to host and serve recommendation models, embedding-generation models, and self-hosted LLMs.
 * Work on LLM fine-tuning, reinforcement learning infrastructure, serving, and inference optimization.
 * Provide model-hosting and serving capabilities to teams across Ads, Content, Growth, Lenses, Security, My AI, and other product areas.
 * Own the inference components that power advertising models, while Ads teams generally own the ad products, formats, modeling objectives, and ranking strategies.
 * Provide ranking and ML infrastructure for products such as Camera, Creative Tools, Maps, Chat, Memories, Games, and Minis when those products require model hosting or serving.