Role OverviewThe TikTok Agentic Arch team is building AI-native engineering infrastructure that transforms how software is designed, built, and operated at TikTok scale. You will develop frontier methods, evaluate them rigorously, and bring them into production through platforms used at large scale—creating measurable improvements in engineering productivity, software quality, and operational effectiveness.
What You Will Do
Develop frontier methods, evaluate them rigorously, and bring them into production through platforms used at large scale.
Why It Might Be a Fit
You will have the opportunity to advance agent research through real-world execution feedback, and contribute to the organization's future plans and emerging technologies.
Requirements
- Currently pursuing or recently completed a PhD in Computer Science or a related field, with relevant work in machine learning, natural language processing, software engineering, distributed systems, programming languages, or a related area.
- Demonstrated research or engineering experience in AI agents or closely related areas such as large language model reasoning, reinforcement learning, program synthesis, or AI for code.
- Strong understanding of one or more relevant areas, including agent planning and reasoning, model post-training, reinforcement learning, memory and context systems, tool learning, multi-agent systems, or agent evaluation.
- Strong programming and systems-building ability in at least one language such as Python, C++, Go, or Java, with the ability to turn research ideas into robust implementations.
- Ability to formulate ambiguous real-world problems, design rigorous experiments and evaluations, analyze results, and iterate from evidence.
- Strong communication and collaboration skills, with the ability to work across research, infrastructure, platform, and product teams.
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