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# Staff Machine Learning Engineer, Diffusion, Generative Modeling and Inference

- **Company:** Snap Inc.
- **Location:** Bellevue, WA, United States
- **Experience:** Experienced
- **Salary:** $229,000.0 - $343,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Neural Networks, Computer Vision, Augmented Reality, Machine Learning, Tensorflow, Model Compression, Pytorch, Deep Learning, Generative AI, Discretization, Scikit Learn, Information Technology, Optimization Algorithms, Machine Learning Operations, Stable Diffusion
- **Published:** October 23, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3466545697&tx=JR8377FFJ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* A proven passion for machine learning; you stay up-to-date with research and are excited about prototyping new ideas quickly
 * Familiarity with Neural Networks and Deep Learning and Generative Modeling
 * Deep understanding of mathematics and/or machine learning algorithms
 * Desire to solve open ambiguous problems
 * Desire to grow professionally, learn and help others
 * Ability to effectively collaborate with internal teams and external partners
 * Ability to work independently, * Bachelor's degree in technical field such as computer science, mathematics, statistics or equivalent years of experience
 * 8+ years of post-Bachelor's machine learning or related experience; or a Master's degree in a technical field + 7+ years of post-grad ML or related experience; or a PhD in a related technical field + 4+ years of post-grad ML or related experience
 * Experience with Computer Vision or Generative Modeling techniques
 * Experience working with machine learning frameworks such as TensorFlow, PyTorch, JAX, MLX, scikit-learn, or related frameworks, * Advanced degree in computer science or related field
 * Experience training large-scale diffusion models for images, videos or 3D
 * Knowledge of distillation, quantization and model compression techniques
 * Knowledge of GPU, CPU, or NPU optimization techniques
 * Experience building and optimizing ML inference pipelines
 * Experience working with machine learning frameworks such as TensorFlow, PyTorch, JAX, MLX, scikit-learn, or related frameworks

## Description

* Develop innovative machine learning technology and products that serve millions of Snapchatters
 * Build cutting-edge augmented reality experiences using generative models
 * Deliver generative machine learning experiences on device
 * Partner with cross-functional Snap teams to explore and prototype new products