About Me

Hi there, this is Jun Wang. Welcome to my website. I'm a programmer. I love programming.

I am a Senior Applied Scientist at Amazon, specializing in foundational model pre-training, post-training, and reinforcement learning for complex reasoning tasks. My expertise spans the entire lifecycle of large language model (LLM) development, including data curation, pretraining, supervised fine-tuning (SFT), and reinforcement learning with human feedback (RLHF). I have experience training both text-based and code-focused models. Most recently, I’ve been focusing on deep RL for math, code generation tasks.

Opinions are my own and I do not speak for my employer or my team. On this webpage, I'd like to share my study and my paper reading. Feel free to reach out to me if you have any comments/suggestions

In my spare time, I like hiking a lot. I'm also very much into reading books of history, biography etc. Drop me a line if you want to chat more!

Publications

All my publications can be found on google scholar

Professional Services

  • Reviewer for ACL ARR 2024, EMNLP 2025, ICLR 2025
  • Reviewer for NeurIPS, ICLR 2023
  • Reviewer for AMLC 2020, 2021
  • Reviewer for ICLR 2022
  • Reviewer for AAAI 2021
  • I served as the Amazon Research Award reviewer and was an AC for AMLC conference at Amazon.