Tencent

Actively Hiring

Research Intern (Llm Agents)

London, United Kingdom

Full time

Role Overview

We are hiring a research intern to train LLM agents that play in-game characters. The agent has to stay in persona across multi-turn dialogue, use memory and game context, and keep relationship, tone, and world rules intact.

About Tencent

Tencent is a world-leading internet and technology company that develops innovative products and services to improve the quality of life for people around the world.

Key Responsibilities

Train role-play agents with supervised fine-tuning (SFT), then post-train them with direct preference optimization (DPO) and reinforcement learning with verifiable rewards (RLVR)
Build and curate SFT, preference, and verifiable-reward data for character dialogue
Design checks that can be verified automatically, such as format, language, persona boundaries, and safety refusals
Work with game designers and engineers to bring the agent into a live game, and keep latency, cost, and player experience within production constraints

Requirements & Eligibility

Currently enrolled in a Master's or PhD program in Computer Science, NLP, Machine Learning, or a related field, or recently graduated
Fluent English (written and spoken) and strong communication skills
Hands-on experience with supervised fine-tuning (SFT) of LLMs, and with post-training methods including DPO and RLVR
Experience training or evaluating role-play or character-dialogue models
Proficient in Python and PyTorch, and comfortable with the Hugging Face / Transformers training stack

Required Skills & Tech

PythonPyTorchHugging FaceTransformersLLMSFTDPORLVR