Responsibilities Responsibilities: - Develop and optimize LLM/MLLM, Agent, NLP, CV, and recommendation models to improve TikTok's content ecosystem. - Design, build, and optimize advanced Agentic AI frameworks, focusing on core components like planning, tool use, skills, and memory. - Implement multimodal AI solutions, integrating video, text, and speech understanding. - Train and fine-tune deep learning models using TensorFlow, PyTorch, or other ML frameworks. - Deploy and scale machine learning solutions in a distributed computing environment. - Work closely with AI researchers, software engineers, and business teams to apply AI technologies effectively. 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. - Strong programming skills in Python, C++, or similar languages. - Hands-on experience with deep learning frameworks such as TensorFlow or PyTorch. - Hands-on experience with LLMs/MLLMs, specifically focusing on Post-Training (SFT, RL) and/or Inference optimization. - Solid understanding of machine learning fundamentals and the modern AI stack. - Strong proficiency in integrating AI tools into knowledge discovery and research workflows. - Excellent communication skills to collaborate across teams. Preferred Qualifications: - Experience with distributed computing and optimizing AI models for real-world applications. - Experience in applying machine learning techniques to enhance business and user experiences. - Deep knowledge of agent architectures, including planning, tool use (e.g., LangChain, LlamaIndex), skills, and memory systems. - Strong experience in working with Agentic modeling, workflows, and frameworks. - Publications in top AI/ML conferences (NeurIPS, ICML, CVPR, ACL, AAAI, etc.) or strong contributions to open-source AI projects. 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.