onsite
Machine Learning Engineer, Safety
Machine Learning Engineer, Safety
This Machine Learning Engineer will focus on building and improving safety-oriented ML systems for personalization surfaces and emerging AI. Key responsibilities include developing backend services, integrating generative AI, and collaborating with cross-functional teams to ensure user safety and system performance.
About the role
About the Role
As a Machine Learning Engineer specializing in Safety, you will be instrumental in designing, building, and enhancing machine learning systems that ensure safety across various personalization surfaces. This includes 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 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.
Skills
Machine LearningML modelsGenerative AiLlmbackend services