Machine Learning Engineer (Generative Machine Learning)

About This Role

Working as a Machine Learning Engineer, you will develop cutting-edge AI technologies for Snap's Generative ML Platform team, which powers creative and scalable experiences for Snapchatters worldwide. This role involves building the full stack of generative AI, including foundational models, efficient infrastructure, and on-device and server-side inference, for various applications from multimodal LLMs and video generation to real-time AR and 3D content creation.

Responsibilities

• Develop innovative machine learning technology and products that serve millions of Snapchatters
• Work on state-of-the-art generative pipelines for image, video, language or audio generation
• Deliver generative machine learning experiences on device
• Build cutting-edge augmented reality experiences using generative and diffusion models
• Partner with cross-functional Snap teams to explore and prototype new products

Requirements

• Ability to effectively collaborate with internal teams and external partners
• Knowledge of mathematics and deep learning foundations
• Desire to grow professionally, learn and help others
• A proven passion for machine learning; you stay up-to-date with research and are excited about prototyping new ideas quickly
• 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
• Bachelor
• 3+ years of post-Bachelor
• Research or engineering experience in one or more of the following: generative models, efficient models, diffusion models, language models, or other related applications of machine learning
• Master
• Knowledge of GenAI, especially image, video, language and audio generation foundations
• Experience developing real-time software for mobile applications
• Knowledge of efficient model 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.

Benefits

• Up to 28 weeks of parental leave and return-to-work program
• Adoption, surrogacy, infertility, and fertility preservation benefits
• Backup child care coverage, center-based care support, & caregiver assistance
• Dependent Daycare Flexible Spending Account
• Lactation rooms (based on office location) and breastmilk shipping coverage
• For Snap, employees taking care of loved ones with complex, chronic, or ongoing care needs (i.e. parent with Dementia, spouse with Cancer, child with Autism), your family can save time, money, & stress with Wellthy