Research Engineer - TikTok Ads Core ML, Ranking

What you'll do

• Optimize the advertising funnel, including retrieval, sorting, creative personalization, and resource allocation.
• Research and develop advertising delivery systems using ML/DL, reinforcement learning, LLMs, and scaling laws.
• Design system frameworks and standards, and collaborate with product and business teams across use cases.

What they ask for

• BS/MS in Computer Science, Statistics, Operations Research, Applied Mathematics, Physics, or a similar quantitative field, or related experience.
• Research or industry experience in machine learning, deep learning, statistical models, or applied mathematical methods.
• Proficiency in C/C++ and Python, with familiarity with data structures and algorithms.
• Familiarity with at least one of TensorFlow, PyTorch, or MXNet; online experimentation and analytics; and big data systems such as Hadoop and Spark.

Nice to have

• Participation in national mathematics or coding competitions.
• Publications or citations in NLP, computer vision, or recommender systems; experience with LLMs, reinforcement learning, transfer learning, or counterfactual optimization.

Tools

C/C++, Python, TensorFlow, PyTorch, MXNet, Hadoop, Spark

AI focus

Research and develop ML/DL-, RL-, and LLM-based advertising ranking and delivery systems, including generative retrieval, large recommendation models, LLM-based ranking, and system resource allocation optimization.