Machine Learning Engineer (Generative Machine Learning)

Join Snap's Generative ML Platform team as a Machine Learning Engineer. You'll develop innovative machine learning technology and products that serve millions of Snapchatters, work on state-of-the-art GenAI pipelines, and build cutting-edge augmented reality experiences. Enjoy a comprehensive benefits package, including generous time off, health coverage, and retirement plans.

• Develop innovative machine learning technology and products that serve millions of Snapchatters, focusing on state-of-the-art generative AI pipelines for image, video, and audio generation.
• Collaborate with cross-functional teams to explore and prototype new products, delivering generative machine learning experiences on device.
• Utilize strong software development skills in Python or C++, and proficiency with major deep learning frameworks like PyTorch or TensorFlow, to build cutting-edge augmented reality experiences.
• Knowledge of mathematics and deep learning foundations
• A proven passion for machine learning; you stay up-to-date with research and are excited about prototyping new ideas quickly
• Desire to grow professionally, learn and help others
• Strong software development skills in Python or C++
• Ability to work independently
• Proficiency working with major deep learning frameworks: PyTorch or TensorFlow
• Desire to solve open ambiguous problems
• Ability to effectively collaborate with internal teams and external partners
• Bachelor’s Degree in a technical field such as computer science, mathematics, statistics or equivalent years of experience
• 5+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experience
• Research or engineering experience in one or more of the following: generative models, efficient models, segmentation, object detection, classification, tracking, or other related applications of machine learning
• Master's degree or PhD in a related technical field
• Experience developing real-time software for mobile applications
• Knowledge of GenAI, especially image, video, and audio generation foundations
• Track record of successful projects in GenAI field
• Examples of your work such as open source projects, blog posts, Kaggle contests, top conference or journal publications, etc
• Knowledge of efficient model foundations