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# Staff Machine Learning Engineer, Generative AI Modeling and Inference Organization

- **Company:** SNP GENERAL PARTNER, LLC
- **Location:** Santa Monica, CA, United States
- **Experience:** Experienced
- **Salary:** $229,000.0 - $343,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Artificial Neural Networks, Computer Vision, Augmented Reality, Computer Literacy, Machine Learning, Tensorflow, Extensible Markup Language (XML), Graphics Processing Unit (GPU), Pytorch, Delivery Pipeline, Deep Learning, Generative AI, Scikit Learn, Information Technology, Optimization Algorithms
- **Published:** August 19, 2026
- **Apply:** https://www.careerbuilder.com/job-details/staff-machine-learning-engineer-generative-ai-modeling-and-inference-santa-monica-ca--77017496-dffc-4bdb-8dac-3f16cad0fdd2

## 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

Preferred Qualifications:

 * 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, Accounts Receivable, Algorithms, Artificial Intelligence (AI), CPU (Central Processing Unit), Computer Science, Computer Skills, Computer Vision, Content Development, Cross-Functional, Deep Learning, Diversity, Federal Laws and Regulations, GPU (Graphics Processing Unit), JAX (Java API for XML), Leading Edge Technology, Legal, Machine Learning, Mathematics, Medical Conditions, Medical Genetics, Neural Networks, Problem Solving Skills, Prototyping, State Laws and Regulations, Statistics, Team Player

## 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


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