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# Principal Machine Learning Engineer, ML Training Platform

- **Company:** Snap Inc.
- **Location:** Los Angeles, CA, United States
- **Salary:** $244,000
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Computer Programming, Software Debugging, Machine Learning, Memcached, NoSQL, Redis, Tensorflow, Software Engineering, Graphics Processing Unit (GPU), Pytorch, Deep Learning, AutoML, Kubernetes, Information Technology, Machine Learning Operations, Docker
- **Published:** November 14, 2026
- **Apply:** https://www.adzuna.com/details/5962066324

## About the Role

* Strong understanding of machine learning approaches and algorithms
 * Excellent programming and software design skills, including debugging, performance analysis, and test design
 * Proven track record of operating highly-available systems at scale
 * Ability to proactively learn new concepts and technology and apply them at work
 * Skilled at solving ambiguous problems
 * Strong collaboration and mentorship skills, * BS in technical field such as computer science, mathematics, statistics or equivalent years of experience
 * 14+ years of industry machine learning experience
 * Experience with GPU/TPU training and optimizations, * Masters/PhD in a technical field such as computer science
 * Experience leading teams and driving technical roadmaps
 * Experience working with machine learning, recommendation and ranking systems, or vector similarity search
 * Experience with TensorFlow, PyTorch, or related deep learning frameworks
 * Experience with Docker, Kubernetes, Ray, NoSQL solutions, Memcache/Redis, Google/AWS services
 * Experienced in MLOps and managing production machine learning lifecycle

## Description

* Design, implement, and scale critical machine learning components and services to support Snap's most strategic initiatives
 * Build a next-generation training framework that can support large-scale model training, enabling us to push the limits of what's possible with machine learning
 * Perform training and model performance optimization with various GPUs to improve model training speed and efficiency
 * Develop an AutoML platform to accelerate model generation and automate the machine learning model lifecycle
 * Work across teams to understand product requirements, evaluate trade-offs, and deliver the solutions needed to build innovative products or services
 * Advocate for and apply best practices when it comes to availability, scalability, operational excellence, and cost management
 * Provide technical direction that influences the entire company