Lead the implementation and operationalisation of knowledge base and retrieval-augmented generation solution stacks to support scalable GenAI and agentic use cases across business domains
Product instinct developed through 2+ years of product thinking (formal PM title not required). Demonstrated ability to define metrics, design systematic data collection, and translate user signals into prioritised decisions.
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
Follow and improve feature development cycles, software architecture patterns, coding standards, and DevOps/MLOps best practices across the engineering team.
Work with APIs, databases, cloud infrastructure, enterprise applications, communications technologies, and other connected systems as required by the solution.
The role requires more than implementing evaluation pipelines. It requires identifying the right research questions, designing defensible experiments, developing new evaluation methods where established benchmarks are insufficient, and translating findings into company-level technical decisions.
Design and implement model evaluation, monitoring and optimise performance of in-house developed AI solutions through pre-training and post-training techniques.
PhD or Master in Computer Science, Computer Vision, Machine Learning, Artificial Intelligence, Applied Mathematics, Electrical Engineering, Robotics, or a closely related technical field.