Staff ML Engineer
Core
Build a robust, scalable ML operating model for safety, recommendations, and product optimization on a global social discovery platform.
Role type
Staff ML Engineer (Platform Engineering)
Builds
Production ML systems for content moderation, recommendation engines, behavioral detection, and LLM usage standards.
Domain
Social networking / Trust & Safety / Recommendation Systems
Deliverable
production ML models
Required skills
Large-scale ML systems design, end-to-end ML lifecycle management, legacy model modernization, LLM application, Python, PyTorch, neural networks, technical leadership, cross-functional collaboration
Preferred skills
Product sense, pragmatic implementation over pure research, ability to work under ambiguity, strong pedagogy
Technologies
PyTorch, Python
Responsibilities
Deliver end-to-end ML use cases ensuring production readiness; Define and improve the full ML lifecycle including monitoring and KPIs; Contribute to 'ML as a Platform' strategy and define scalable standards; Take ownership of legacy models and retrain them into modern pipelines; Partner with Data Engineering, MLOps, and Product teams to align ML with business needs.
Seniority
Staff, hands-on IC with technical leadership
