Machine Learning Engineer, Generative AI Safety

About the Role

Snap Inc. is looking for a Machine Learning Engineer with a focus on Generative AI Safety. In this role, you will be instrumental in designing, building, and improving machine learning systems that ensure safety across various personalization surfaces, including recommendations, search, and emerging AI experiences.

Responsibilities

• Design, build, and improve machine learning systems that power safety across personalization surfaces such as recommendations, search, and emerging AI experiences.
• Contribute to the platformization of safety systems, enabling scalable and reusable solutions across teams.
• Develop and operate high-throughput, low-latency backend services powered by ML models.
• Partner with Product, Trust & Safety, and Content Platform teams to translate safety needs into practical technical solutions.
• Work on both traditional ML models and generative AI systems, including integrating third-party and in-house foundational models.
• Contribute to evaluation frameworks, including labeling strategies, ground truth creation, and model validation approaches.
• Collaborate with foundational model teams to embed safety into LLM-based and agent-driven experiences.
• Use metrics and experimentation to continuously improve system performance, safety outcomes, and user experience.