Responsibilities About the Team The Content Ecology team develops AI-powered products and platform capabilities that enhance how content is created, understood, discovered, and governed across TikTok. Leveraging cutting-edge technologies such as large language models (LLMs), multimodal learning, and agentic AI, the team addresses complex challenges across Local Services, Search, intelligent customer service, creator understanding, and AI-assisted content creation. By combining business-focused product innovation with scalable AI platform development, the team delivers impactful solutions that improve experiences for users, creators, and merchants while advancing frontier AI capabilities at global scale. We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume. Responsibilities: - Architect and build standardized, configurable, and reusable pipelines for the entire lifecycle of models and agents-from data processing and training to deployment, monitoring, and governance. - Partner with algorithm teams to understand their needs and provide a world-class infrastructure platform that accelerates their research and development cycles. - Build robust observability and evaluation frameworks to ensure the reproducibility, reliability, and cost-efficiency of AI workloads at scale. - Design and implement core platform infrastructure, including model/agent registries, feature stores, and high-throughput retrieval/RAG systems. - Design, build, and optimize advanced Agentic AI systems, focusing on core components like planning, tool use, and memory. Qualifications Minimum Qualifications: - Individuals who are completing or have recently completed a PhD degree in computer science, computer engineering, electrical engineering, applied mathematics, or a related discipline. - Experienced in programming and algorithmic skills, proficient in languages such as Python or C++. - Deep understanding of one of the following areas: NLP (Natural Language Processing), CV (Computer Vision), LLM (Large Language Models)/MLLM (Multimodal Language Models), Search, or Agentic AI. - Experienced in one or more of the following topics: TensorFlow, PyTorch, or other machine learning frameworks. - Good team communication and collaboration skills. Preferred Qualifications: - Experience in building ML model development for large-scale consumer-facing applications. - Experience or domain expertise in one or more of the following areas is preferred: NLP, CV, LLM/MLLM, Agentic LLMs, Dialog Systems, Search, Recommendation Systems, or Creator Modeling. - Published papers or hands-on project experience in the fields of NLP, CV, agent-based systems, or multimodal technologies. Job Information [For Pay Transparency]Compensation Description (Annually) The base salary range for this position in the selected city is $128000 - $316800 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure). The Company reserves the right to modify or change these benefits programs at any time, with or without notice. For Los Angeles County (unincorporated) Candidates: Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: 1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; 2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and 3. Exercising sound judgment.