Top AI & Machine Learning Jobs

The role involves building and deploying ML models for core products, solving real-world problems, and collaborating with teams on ML-driven features.

As a Machine Learning Engineering Intern, you will work on scene understanding for AR experiences, prototype machine learning models, and collaborate with teams to integrate your work.

Lead the development of large-scale recommendation systems at Snap, overseeing technical leadership, collaboration across teams, and implementation of machine learning strategies to enhance content discovery and personalization.

As a Machine Learning Engineer, you will build and deploy models for Snapchat, applying modern ML techniques to solve problems and lead the full ML lifecycle.

The Staff Machine Learning Engineer will lead the development of search ranking systems, focusing on machine learning models for relevance, quality, and personalization through various advanced techniques and collaboration with cross-functional teams.

Design and implement generative ML systems (image, video, audio, multimodal LLMs) and deliver on-device and server-side inference. Build GenAI pipelines and AR experiences, prototype with cross-functional teams, and optimize efficient models for real-time mobile and wearable applications.

As an intern in the AI Core Architecture team, you'll implement and simulate neural rendering algorithms, benchmark performance, and suggest improvements for NPU efficiency.

Join Snap Inc. as a thesis student exploring efficient on-device ML for AR applications, focusing on event-driven processors. Conduct research, develop models, and produce a thesis report over 8-12 months.