As a Staff Data Scientist, you will drive data-informed monetization strategies across subscriptions, advertising, and virtual currency economies, partnering with product and engineering teams.
Lead high-impact AI infrastructure programs, partnering with engineering, research, and product teams to shape strategy and drive execution for scalable model development and serving systems.
Design and develop robust backend systems while leveraging applied machine learning to enhance integrity and safety in human-to-AI interactions.
As a Software / ML Engineer, you will design and implement applied ML models and infrastructure, optimizing backend systems for discovery, recommendation, and search functionalities.
As a Backend Engineer, you will design, develop, and maintain scalable backend systems, ensuring high performance and reliability while collaborating with cross-functional teams.
Design and build user-facing features that enhance monetization through payments, subscriptions, and in-app purchases, while ensuring a delightful user experience.
As a Core Product engineer, you will develop user-friendly interfaces, collaborate with design teams, and enhance product features to create engaging user experiences.
As a Research Engineer focused on AI safety and alignment, you will develop methodologies to assess and enhance the safety of large language models while bridging theoretical research with practical applications.
Responsibilities : Provide infrastructure support to our ML research and product Build tooling to diagnose cluster issues and hardware failures Monitor deployments, manage experiments, and generally
As a Research Engineer on the Post-Training team, you will fine-tune AI models, optimize their performance, and enhance their quality and efficiency for millions of users.
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