Machine Learning Engineer, Generative ML , Level 5 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. We're looking for a Machine Learning Engineer to join our Generative ML team! What you'll do: - Develop innovative machine learning technology and products that serve millions of Snapchatters - Work on state of the art GenAI pipelines for image, video, and 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 Knowledge, Skills & Abilities: - 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++ - Proficiency working with major deep learning frameworks: PyTorch or TensorFlow - Knowledge of mathematics and deep learning foundations - 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 Minimum Qualifications: - 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 Preferred Qualifications: - 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 - 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. Our Benefits: Snap Inc. is its own community, so we've got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success! Compensation In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position.These pay zones may be modified in the future. Zone A (CA, WA, NYC): The base salary range for this position is $209,000-$313,000 annually. Zone B: The base salary range for this position is $199,000-$297,000 annually. Zone C: The base salary range for this position is $178,000-$266,000 annually. This position is eligible for equity in the form of RSUs.