- Participate in building large-scale (billion level) E-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc.
2 days
2,700+ Tiktok Jobs - October 2026 - Urgent Hiring - Page 62
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- Collect, clean, and analyze large datasets to uncover trends, patterns, and actionable insights
2 days
- Improve the basic search quality and user experience: Optimize query analysis and text relevance matching. Understand e-commerce video content and implement multi-modal matching. Improve users' perception of product authority, and deeply participate in the design and implementation of core search products. Comprehensively improve the end-to-end shopping experience from browsing to after-sales.
2 days
- Create and refine high performance mobile apps that push the limits of mobile technology;
2 days
- Own the reliability of TikTok’s global advertising systems, participate in the design of reliability architecture, and ensure high availability of large-scale advertising systems.
2 days
- Design and develop AI-powered testing solutions that improve software quality and engineering efficiency across the entire software development lifecycle.
2 days
- Analyze advertising revenue, client performance and industry trends to identify growth opportunities and generate actionable business insights.
2 days
- Large language Model Algorithm Development: Build domain-specific large language models (LLM/MLLM) for e-commerce, integrating domain knowledge to rapidly apply models to business scenarios.
2 days
- Precision Subsidies & Intelligent Pricing: Model user demand elasticity across products and coupon values, combined with operations research optimization to solve for optimal budget allocation under strict constraints — maximizing GMV and conversion rate.
2 days
- Responsible for using algorithms to mine, identify, and predict risks and low-quality merchants, products, and creators in e-commerce scenarios, and assist businesses in managing and controlling them.
2 days
- Build and optimize cross-scenario shared Foundation Models to enable unified modeling and efficient inference.
2 days
- Improve the basic search quality and user experience: Optimize query analysis and text relevance matching. Understand e-commerce video content and implement multi-modal matching. Improve users' perception of product authority, and deeply participate in the design and implementation of core search products. Comprehensively improve the end-to-end shopping experience from browsing to after-sales.
2 days
- A PhD degree with top AI conference papers in ML/CV/NLP are required;
2 days
- Build global logistic and warehousing network, improve operations efficiency and reduce operational cost with data analysis, machine learning and operation research methods.
2 days
- Drive core technology development for large language model code direction, continuously optimizing code comprehension, reasoning, and generation capabilities.
2 days
- Participate in building large-scale (billion level) E-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc.
2 days
- Research and practice large model prompt word engineering, and explore the application of large models in content understanding tasks, including feature engineering, algorithm design, training, and deployment
2 days
- Build and evolve the agent runtime (harness / agent loop) powering our creator / seller agents — orchestrate skills, tools, and context.
2 days
- Participate in the development of TikTok’s search results page and other related core scenarios, working closely with Product, Design, Algorithm, and other cross-functional teams to independently drive the full cycle from requirement analysis and technical solution design to development, launch, and post-launch evaluation.
2 days
- Design and develop AI-powered testing solutions that improve software quality and engineering efficiency across the entire software development lifecycle.
2 days
- Research on foundation models and frontier generative technologies: Explore the capability boundaries of large language models (LLMs) and multimodal large models (MLLMs), especially the evolution of foundation capabilities for agentic scenarios. Conduct in-depth research and propose innovative post-training paradigms, tackling challenges in complex reasoning such as CoT reasoning and long-horizon planning, tool use, reinforcement learning alignment such as innovative applications of PPO, GRPO, and other new RLHF algorithms for agent behavior alignment, reward model design, and AI safety. Build model capabilities for autonomous decision-making and reflection from the underlying architecture. Explore and break through the underlying architectures of frontier visual generation algorithms such as diffusion and flow matching, building a strong perception and environment simulation foundation for multimodal agents.
2 days
- Build and evolve the agent runtime (harness / agent loop) powering our customer-service agents — orchestrate skills, tools, and context; implement loop control & intervention, progressive disclosure, and behavior-level guardrails.
2 days
- Design and develop ML algorithms and intelligent systems for large-scale e-commerce scenarios: recommendation, ranking, retrieval, forecasting, content understanding, pricing, governance, and conversational AI.
2 days
- Recommendation Large Models: Address challenges such as gradient convergence and representation drift in ultra-long behavioral sequences, enabling the system to achieve true ""logical reasoning"" capabilities.
2 days
- Design and develop ML algorithms and intelligent systems for large-scale e-commerce scenarios: recommendation, ranking, retrieval, forecasting, content understanding, pricing, governance, and conversational AI.
2 days
- Build industry leading recommendation system; develop highly scalable classifiers and tools leveraging machine learning;
2 days
- Large language Model Algorithm Development: Build domain-specific large language models (LLM/MLLM) for e-commerce, integrating domain knowledge to rapidly apply models to business scenarios.
2 days
- Large language Model Algorithm Development: Build domain-specific large language models (LLM/MLLM) for e-commerce, integrating domain knowledge to rapidly apply models to business scenarios.
2 days
- Participate in building large-scale (billion level) E-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc.
2 days
- Build global product catalog and content understanding systems, modeling products, videos, images, merchants, and brands with structured and semantic representations.
2 days