Yash Jain

Research Scientist, Essential AI Labs

051822_HeadShotDay_-236.jpg

Welcome! I am a Research Scientist at Essential AI Labs, where I build foundation models alongside Ashish Vaswani (Attention is All You Need). I was a core contributor to Rnj-1, an open-source coding and agentic foundation model with over one million downloads across Hugging Face and Ollama — I worked on execution-based code generation, the agentic tool-calling stack, and the long-context mid-training that grew into Rnj-1.5 (32k→160k tokens, 40% on SWE-bench Verified).

Previously, I was an ML Scientist II at Microsoft, where I worked on diffusion models and multimodal large-language models in collaboration with Vibhav Vineet and Harkirat Behl, publishing at NeurIPS, CVPR, ICLR, ICCV, NAACL, EMNLP, ISWC, and UbiComp.

I graduated from Georgia Tech with an M.S. in Computer Science, advised by Zsolt Kira. Before that, I earned my B.Tech. in Computer Science from IIT Bombay, where I received an Excellence in Research Award under Soumen Chakrabarti.

Reach out by email if you wish to collaborate!

news

Jul 22, 2026 Featured in The Times of India (in print, across India) — an article on my journey and the research behind frontier AI labs! (thread)
May 25, 2026 Released Rnj-1.5, a long-context extension of Rnj-1 scaling to 160k tokens! By moving from all-global to block-local/global attention layers, our 8B model hits 40% on SWE-bench Verified (thread).
Dec 09, 2025 Released Rnj-1, a state-of-the-art open-source coding and agentic foundation model with 600k+ downloads on Hugging Face!
Jun 16, 2025 Joined Essential AI Labs as a Research Scientist!
Mar 13, 2025 Local Prompt Optimization Paper accepted at NAACL 2025 for Oral Presentation (Main Conference)!
Jun 05, 2023 Joined Microsoft as an ML Scientist II at Redmond!

selected publications

  1. rnj1.png
    Rnj-1: Building Instruments of Intelligence
    Essential AI
    2025
    Model Release
  2. lpo.png
    Local Prompt Optimization
    Yash Jain, and Vishal Chowdhary
    In Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL), 2025
  3. peekaboo.gif
    PEEKABOO: Interactive Video Generation via Masked-Diffusion
    Yash Jain*, Anshul Nasery*, Vibhav Vineet, and Harkirat Behl
    In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
  4. damex.jpg
    DAMEX: Dataset-aware Mixture-of-Experts for Visual Understanding of Mixture-of-Datasets
    Yash Jain, Harkirat Behl, Zsolt Kira, and Vibhav Vineet
    In Advances in Neural Information Processing Systems (NeurIPS), 2023
  5. 3m.jpg
    Multi-Stage Multi-Modal Pre-Training for Automatic Speech Recognition
    Yash Jain, D. Chan, P. Dheram, A. Khare, O. Shonibare, and 2 more authors
    In Joint International Conference on Computational Linguistics and Language Resources and Evaluation (LREC-COLING), 2024
  6. collossl.png
    Collossl: Collaborative Self-Supervised Learning for Human Activity Recognition
    Yash Jain*, Chi Ian Tang*, Chulhong Min, Fahim Kawsar, and Akhil Mathur
    Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (UbiComp), 2022
  7. rfid.png
    RFID Tattoo: A Wireless Platform for Speech Recognition
    Jingxian Wang, Chengfeng Pan, Haojian Jin, Vaibhav Singh, Yash Jain, and 3 more authors
    ACM Interactive, Mobile, Wearable and Ubiquitous Technologies (UbiComp), 2020

service

  • Conference reviewer: NeurIPS (2024, 2025, incl. Datasets & Benchmarks track), CVPR (2025; AI for Content Creation workshop, 2024), ICCV (2025), ECCV (2024), ICML (2024, 2025), ICLR (2025, 2026), ACL Rolling Review (2025–2026)
  • Program Committee: AAAI 2026
  • Journal reviewer: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2023–2026