Sr. Staff Machine Learning Engineer, Content Quality
Core
Architecting technical strategy and unified architecture for content quality signals, GenAI safety, and trust aspects of content at scale.
Role type
Sr. Staff Machine Learning Engineer (Technical Lead)
Builds
Production-ready signals, GenAI safety alignment, and VLMs for content quality and trust.
Domain
Consumer internet, Content Quality, Generative AI
Deliverable
production ML models
Required skills
Technical strategy at organizational level, Content modeling at consumer internet scale, GenAI for scaling ML development, Cross-functional collaboration, Stakeholder management, Measurement and scalability, Strong ML knowledge, Machine Learning at scale deployment
Preferred skills
Big data technologies (Hadoop/Spark/Kafka/Flink), AI coding assistants (Cursor/Copilot/Codex), LLM-powered productivity tools, Thought leadership (publications/conferences)
Technologies
Hadoop, Spark, Kafka, Flink, GenAI, VLMs
Responsibilities
Architect and develop a roadmap for building and delivering signals capturing quality and trust aspects of content, Drive safety of GenAI and Conversational use cases including safety alignment and VLMs, Work with downstream teams to align on use cases and drive adoption of signals in models and ranking systems, Partner with ML engineers to translate ideas into production-ready signals from problem formulation to deployment
Seniority
Sr. Staff, hands-on IC with strategy & mentorship
