AI Machine Learning Engineer - Graduate (TikTok Content Ecology) - 2027 Start (PhD) - Graduate (TikTok Content Ecology) - 2027 Start (PhD)

What you'll do

• Develop and optimize LLM/MLLM, Agent, NLP, computer vision, and recommendation models; build Agentic AI frameworks and multimodal solutions.
• Train and fine-tune deep learning models, then deploy and scale them in distributed computing environments.
• Collaborate with researchers, engineers, and business teams to apply AI technologies.

What they ask for

• Completing or recently completed a PhD in computer science, computer engineering, electrical engineering, applied mathematics, or a related discipline.
• Strong programming skills in Python, C++, or similar languages, and hands-on experience with TensorFlow or PyTorch.
• Hands-on LLM/MLLM experience focused on Post-Training (SFT, RL) and/or Inference optimization.
• Solid understanding of machine learning fundamentals and the modern AI stack; proficiency integrating AI tools into knowledge discovery and research workflows.

Nice to have

• Experience with distributed computing, real-world model optimization, or applying machine learning to business and user experiences.
• Knowledge or experience in agent architectures and Agentic modeling; publications at top AI/ML conferences or strong open-source AI contributions.

Tools

LLMs/MLLMs, NLP, CV, TensorFlow, PyTorch, Python, C++, LangChain

AI focus

Applies LLMs/MLLMs, multimodal learning, and Agentic AI to content understanding, governance, recommendations, discovery, and customer service; includes post-training, inference optimization, and video, text, and speech understanding.