Machine Learning Engineer – LLM Algorithm

Responsibilities

Team Introduction The experience team is responsible for optimizing app experience related to performance for TikTok users. This team collaborates with all teams in the video creation and consumption ecosystem to provide end-to-end optimization solutions. Responsibilities 1. Optimize live streaming/RTC scenarios using machine learning/llm to enhance experience, cost efficiency, and resource allocation in multimedia upload, transcoding, and distribution pipelines, achieving multi-objective joint optimization and strategy coordination. 2. Build strategy datasets, identify issues through data analysis, define key metrics, deploy strategies, and continuously iterate based on new data distributions. 3. Stay updated with the latest research (reinforcement learning/federated learning/causal inference) and continuously improve model accuracy and recall.

Qualifications

Minimum Qualifications 1. Master’s degree or above in Computer Science or related fields preferred; prior experience in audio/video processing or network optimization is a plus. 2. In-depth understanding of live streaming/RTC architectures; prior optimization experience in live/RTC projects is preferred. 3. Proficient in C++/Python; strong expertise in machine learning, reinforcement learning, or causal inference is highly valued. Preferred Qualifications 1. Strong sense of responsibility, curiosity, and excellent collaboration and communication skills, with the ability to accurately abstract problems and prioritize in complex technical scenarios. 2. Experience with learning-based model development is a big plus. 3.Excellent problem solving, data analysis, communication, and team work skills

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