Integrate AI Agents into daily R&D workflows and explore their applications in scenarios such as coding assistance, intelligent debugging, automated testing, issue troubleshooting, and business process automation.
Participate in engineering initiatives such as performance monitoring, exception management, cache preloading, and stability improvements, and drive the full closed loop from issue discovery and analysis to solution implementation.
Build reusable technical solutions, tools, and best practices to continuously improve the team’s engineering efficiency and software quality.
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Design scientific and reasonable metrics to measure handling effectiveness and evaluate governance outcomes and business impact.
Familiar with the operational patterns and violation/cheating methods of various security/risk control risks, with certain security/risk control governance experience; preference given to those familiar with standard operational procedures for various security/risk control risks.
Bachelor's degree or above. Majors in Computer Science, Information Security, Statistics, Mathematics, Artificial Intelligence or other related disciplines.
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Participate in the exploration and development of personalized AI search, with a focus on harness engineering, post-training optimization, and rubric-based automated evaluation, to build next-generation search experiences that better understand users, reason over intent, and make intelligent decisions.
Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm.
Work with the relevant software platforms in which the models are deployed.
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Got doctor degree, preferably in Artificial Intelligence, Computer Science, Mathematics, or other related fields.
Strong programming skills with a good foundation in data structures and fundamental algorithms. Proficient in various algorithmic and engineering frameworks.
Publications in international conferences or journals (including but not limited to ACL, EMNLP, NeurIPS, ICML, ICLR, CVPR etc) is a plus.
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Building academic influence: Continuously track and lead the technical frontier in AI, and strengthen the team’s technical influence.
Individuals who are completing or have recently completed a PhD degree in Computer Science, Artificial Intelligence, Statistics or a related discipline.
Strong academic foundation in natural language processing, computer vision, reinforcement learning, or the fundamentals of machine learning. Deep theoretical insight and ability to innovate in the underlying architecture of large models (LLM/MLLM), generative models such as diffusion/flow matching, or mainstream agent frameworks.
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Promote robust and maintainable code, clear documentation, and deliver high quality work on a tight schedule.
Individuals who are completing or have recently completed a Bachelor's degree in computer science or a related discipline.
Understand the entire life cycle of software development, and be familiar with requirement decomposition, system design, development testing, online operation and maintenance, etc.;
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Architecture for data at the scale of hundreds of billions: Conducting in-depth research and innovation in all aspects, from large-scale offline computing and performance and scheduling optimization of distributed systems to building high-availability, high-throughput, and low-latency online services.
Recommendation Technologies: Leveraging ultra-large-scale machine learning to build industry-leading search recommendation systems and continuously explore and innovate in search recommendation technologies.
Exploring the integration of large models with ranking algorithms to improve the accuracy of personalized ranking and user experience.
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Recognition and rewards for excellence: We grow together with exceptional people — and it’s never too late to join. We’ve enhanced our reward system to recognize high performance, offering more opportunities for outstanding individuals to take on key projects and fully unleash their potential.
Got PhD degree, preferably in Artificial Intelligence, Computer Science, Mathematics, or other related fields.
Strong programming skills with a good foundation in software design ability and coding practices.
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Own and drive innovative sourcing strategies, initiate new projects and/or optimise current processes to improve recruiting process and efficiency with the guidance of TA partners.
Collaborate with Talent Acquisition Partners/Lead and hiring managers to improve the recruiting process and efficiency.
Ensuring a great candidate experience and advocate TikTok as a great place to work for all candidates.
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Support regular business reporting and performance tracking across key Lifestyle initiatives, including campaign, seller growth, content supply, and productivity projects
Prepare clear and concise summaries, slides, and reports for internal stakeholders
Coordinate with cross-functional teams to follow up on inputs, progress updates, and action items
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