流媒体AI策略算法工程师-TikTok
Core
Design AI-driven adaptive strategies for client-side streaming and RTC scenarios, including intelligent transcoding, scheduling, and personalized QoE modeling.
Role type
Senior IC machine-learning engineer (streaming/RTC)
Builds
Intelligent decision engines for adaptive bitrate, network bandwidth prediction, performance degradation handling, and dynamic transcoding resource scheduling.
Domain
Streaming media, Real-Time Communication (RTC), Reinforcement Learning, Causal Inference
Deliverable
production ML models
Required skills
Reinforcement Learning, Time Series Forecasting, Causal Inference, Large Language Models (LLM), Video Generation Models (VLM), C++, Python, PyTorch, TensorFlow
Preferred skills
Live streaming/RTC system architecture knowledge, Generative AI engineering experience, Top-tier conference publications
Technologies
PyTorch, TensorFlow, LLM, VLM
Responsibilities
Design intelligent decision engines for client-side adaptive strategies; Reconstruct traditional ABR and buffering strategies using lightweight ML models; Evolve server-side transcoding and scheduling strategies with ML; Build personalized QoE models using causal inference and LLMs.
Seniority
Senior, hands-on IC
