# Research Intern – Reinforcement Learning for Large Foundation Models

[Tencent](https://www.jorb.ai/firms/tencent.md) · Singapore · [Research / Applied Science](https://www.jorb.ai/jobs/research-applied-science.md)

Tencent is hiring a Research Intern – Reinforcement Learning for Large Foundation Models in Singapore. Posted 2026-08-24; applications close 2026-10-23.

**Apply**: https://tencent.wd1.myworkdayjobs.com/Tencent_Careers/job/Singapore-CapitaSky/Research-Intern---Reinforcement-Learning-for-Large-Foundation-Models_R108024

Posted 2d ago.

## Role details

## Technology Engineering Group (TEG)

Technology Engineering Group (TEG) supports the company and its business groups on technology and operational platforms, as well as the construction and operation of R&D management and data centers. TEG provides users with a full range of customer services. As the operator of the largest networking, devices, and data center in Asia, TEG also leads the Tencent Technology Committee in strengthening infrastructure R&D through internal and distributed open source collaboration, constructing new platforms, and supporting business innovation.

## What the Role Entails

Research directions include but are not limited to:

  
- **RL Algorithms for Reasoning Models:** Design robust RL training recipes (PPO/GRPO/GSPO variants) for large-scale reasoning models. Tackle training instability, reward hacking, and policy collapse in long-horizon and async settings. Explore how to bridge the gap between RL post-training and genuine reasoning capability improvement.
  
- **RL for Autonomous Agents:** Build RL pipelines for long-horizon terminal agents and tool-use agents. Investigate credit assignment, exploration strategies, and self-evolving agent behaviors in complex interactive environments.
  
- **Reward Modeling & Optimization:** Develop reward signals and regularization techniques that go beyond outcome-based rewards. Explore token-level reward shaping, entropy-based regularization, and learned reward models that generalize across tasks.

## Who We Look For

  
- Enrolled in a PhD or Master’s program in computer science, machine learning, or a related field.
  
- Solid understanding of RL fundamentals (policy gradients, PPO, GRPO, etc.) and hands-on experience applying them to LLM training.
  
- Strong programming skills in Python and PyTorch; experience training models on multi-GPU setups; comfortable debugging training instability at scale.
  
- Ability to independently read, critique, and build on recent research papers.
  
- Published or submitted first-author papers at top ML/NLP venues (NeurIPS, ICML, ICLR, ACL, AAAI, EMNLP, etc.), or demonstrated equivalent research maturity through preprints and technical reports.
  
- Familiarity with LLM post-training (RLHF, DPO, GRPO), model merging, or agent frameworks (ReAct, tool-use) is a strong plus.
  
- Experience with large-scale distributed training (DeepSpeed, FSDP, Megatron) and open-source contributions are welcome.

## Applying to this role

This Research Intern – Reinforcement Learning for Large Foundation Models role at Tencent runs through the firm's own careers portal and expects a CV and cover letter written specifically for the posting, not a portable submission carried across firms. Jorb AI's application agent tailors a CV and cover letter from your background to this posting and tracks the role alongside the rest of your applications.

[Tailor this application](https://www.jorb.ai/signup?ref=job-atom&firm=tencent&job=6a8bc32643e332145879dea2)

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Updated: 2026-08-26
Canonical: https://www.jorb.ai/jobs/6a8bc32643e332145879dea2