Principal Machine Learning Engineer (Platform Integrity Engineering, Level 7)

Join Snap Inc. as a Principal Machine Learning Engineer in the Platform Integrity Engineering team. In this role, you will design, implement, and scale critical machine learning models and systems to protect Snapchatters from harmful content and bad actors. You will collaborate with cross-functional teams, stay up-to-date with the latest technology in machine learning, and provide technical direction that influences the entire ML community. This position offers a comprehensive benefits package, including generous time off, medical coverage, and a 401(k) plan.

• Design, implement, and scale critical machine learning models and systems to protect users from harmful content.
• Collaborate with cross-functional teams to set and align on machine learning strategies to meet company objectives.
• Stay up-to-date with the latest technology in machine learning and apply this knowledge to tackle complex problems.

• Experience setting the direction for a team whose primary output is online machine learning models to proactively detect harmful content and bad actors, moderate content supply to promote healthy content ecosystem, and automate moderation tasks with high precision
• Excellent programming and software design skills
• Skilled at solving ambiguous problems and leading and executing complex technical initiatives
• Ability to proactively learn new concepts and technology and apply them at work
• Ability to design, train, and optimize advanced machine learning models
• Strong collaboration and mentorship skills
• Strong understanding of machine learning, deep learning, computer vision, natural language processing, and LLMs/VLMs approaches and algorithms, and their applications to Trust and Safety, Content Moderation, and Content Quality domains
• Experience developing and shipping performant and scalable machine learning models
• Experience with TensorFlow, PyTorch, or related deep learning frameworks
• 9+ years of post-Bachelor’s machine learning experience; or a Master’s degree in a technical field + 8+ year of post-grad ML experience; or a PhD in a related technical field + 5+ years of post-grad ML experience
• 2+ years of experience with technical leadership or acting as the domain-expert to a technical organization
• Bachelor's in a technical field such as computer science, mathematics, statistics or equivalent years of experience
• Experience in online safety and integrity, including Trust and Safety, Content Moderation, and Content Quality
• Experience in developing multimodal models and LLMs/VLMs in harmful content detection, and utilizing the state-of-the-art machine learning techniques to detect bad actors with features such as social, time sequence, and user behavioral signals
• Experience partnering with cross-functional executives and management across a globally distributed organization and exercising sound judgment
• Advanced degree in a related field such as machine learning, computer vision, natural language processing, or mathematics
• Experience working with a diverse group of engineers
• Experience contributing to AI publications
• Track record of delivery in rapidly changing, highly collaborative, multi-site, multi-stakeholder environments