About the job
Snap’s Generative ML Platform team builds cutting-edge AI technologies that power creative, scalable experiences for hundreds of millions of Snapchatters worldwide. From multimodal LLMs and video generation to real-time AR, human understanding, and 3D content creation, we develop the full stack of generative AI, including foundational models, efficient infrastructure, and on-device and server-side inference. Our team creates intuitive tools, platforms, and agentic systems that empower creators, developers, and internal teams to bring ideas to life, while advancing personalized, human-centric experiences across mobile, web, and wearable devices like Spectacles.
Responsibilities
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
Qualifications
Minimum
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
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