AI/ML Engineer

About the role

As an AI/ML Engineer, you will work on building Kuku's next-generation AI-powered content creation platform, with a focus on LLMs, multimodal AI, content understanding, and AI-generated microdramas.

What you'll do

• This role provides an opportunity to work across Generative AI, LLMs, instruction-tuning data, agentic workflows, screenplay generation, and AI video generation, while building production-grade ML systems used by Kuku's...
• LLM & GenAI : Build LLM-powered systems for screenplay generation, dialogue generation, story continuation, summarization, rewriting, critique, and content transformation.
• Instruction-Tuning Data : Build and curate high-quality instruction-tuning and evaluation datasets from Kuku's large-scale microdrama transcript corpus.
• Content Understanding : Develop ML/LLM pipelines to extract characters, relationships, scenes, story arcs, dramatic beats, emotions, conflicts, twists, and other structured information from content.
• AI Screenwriting: Build systems that transform story ideas and structured story information into episodes, scenes, dialogue, and production-ready screenplays.
• AI Video Generation : Develop workflows to convert screenplay and scene information into structured prompts and instructions for AI video generation models such as Seedance.
• Agentic Systems: Build multi-step LLM workflows using frameworks such as LangGraph or LangChain for story planning, screenplay generation, quality checking, continuity validation, and video prompt generation.
• Embeddings & Retrieval: Build semantic retrieval systems for characters, stories, scenes, dialogue, and other content using embedding models and vector databases.

Nice to have

• Education & Experience : Bachelor's or Master's in Computer Science, Machine Learning, Statistics, or a related engineering field, with 2-4 years of relevant experience and a proven ability to build and deploy ML systems
• LLM & GenAI : Hands-on experience with LLM APIs, open-source LLMs, prompt engineering, RAG, embeddings, or generative AI applications.
• Model Training: Experience training or fine-tuning ML/deep learning models using frameworks such as PyTorch or TensorFlow. Familiarity with Hugging Face Transformers and LoRA/PEFT is a plus.
• Production Experience : Experience building and deploying production ML models or GenAI applications, including data pipelines, APIs, monitoring, and cloud infrastructure.
• NLP : Strong understanding of transformers, embeddings, semantic search, text classification, sequence modeling, or related NLP techniques.
• Agentic Systems : Experience with LLM orchestration frameworks such as LangGraph, LangChain, or equivalent technologies is desirable.

About Kuku (Kuku TV)