🚨 Research Internship Opening — Deep Research for Forecasting @ServiceNowRSRCH (Montreal)
Join us to explore how AI agents can reason, discover, and forecast — moving beyond static data toward true predictive intelligence.
Details in the thread👇
📍 About the internship:
- Funded via Mitacs: applicants must be at a Canadian university 🇨🇦
- Duration: 4 or 8 months (renewable)
- Montreal-based, with office days on Tue & Thu
Start: as early as Feb 2026 (flexible)
🚨 Call for Interns – ServiceNow AI Research (Montreal)
Our Computer-Use Agents team (Frontier AI Research) is recruiting interns for 2026!
We work on LLMs and VLMs that can reliably use software and publishing at top venues (NeurIPS, ICML, ICLR) and developing open-source tools like BrowserGym, WorkArena & AgentLab.
We have 5 internship tracks ⬇️
1️⃣ Post-training for CUAs
2️⃣ Tuning Closed-Cource Models
3️⃣ Automatic Red-teaming
4️⃣ Engineering
5️⃣ Privacy-Preserving Team Agents
📍 If you’re at #COLM2025, come find us at the ServiceNow booth!
🧵👇 details in thread
Very excited to see vLLM supports Pipeline RL’s in-flight weight updates! It allowed our team to quickly and reliably train Qwen base 7B to reason from scratch! Want to hear more? Join us at our Pipeline RL expo talk at CoLM this Thursday 1PM room 524C.
Internship @ServiceNowRSRCH to build the next generation of computer use agents that
are safe and secure from malicious attacks. Focus on intervention strategies, defenses to make agents robust against unsafe behavior..
Apply here: https://t.co/XPBMl8SaVs
Following numerous requests, we've decided to extend the submission deadline for the @NeurIPSConf workshop on Recent Advances in Time Series Foundation Models!
📜New deadline: August 29
🌐 Openreview link: https://t.co/dQafx2sC2A
🚀 We have released our paper on ReTreever! 🌳🔍
ReTreever organizes and represents documents in a binary tree across various granular levels, balancing cost & utility while enhancing retrieval transparency.
📜 Read it here: https://t.co/4VlePz5e1K
#AI@ServiceNowRSRCH
🧵👇
Are you interested in methods that improve inference efficiency of LLMs? I will be presenting our work XC-Cache at EMNLP tomorrow starting 10:30 am. If you are at the conference, come say hi!
https://t.co/FbrVKi3NDG
@joaomonteirof@vzantedesc@PierreAndreNoel#EMNLP2024
We are looking for new PhD / MSc students! Machine learning innovations for tackling climate change - e.g. remote sensing, climate informatics, materials discovery, & biodiversity monitoring. Apply by submitting applications to *both* @Mila_Quebec (by Dec 1) & @mcgillu (Dec 15).
proud of releasing this carefully curated benchmark for assessing forecasters ability to leverage numerical data and textual context! check out the tasks here: https://t.co/K3eabBegHl
(New paper alert!)
Forecasting models typically rely on numerical historical data. However, in many cases, numerical data is insufficient and context is key.
E.g., In the series below, would you have predicted the drop? Even the best models do not (forecast in blue).
I am also hiring for my new team at @ServiceNowRSRCH, please reach out if you are at the conference and interested in building the future of secure AI for the enterprise. We have openings for interns, engineers and researchers
Interested in time series forecasting and LLMs?
We are looking for visiting researchers to work on context-aided forecasting (example below):
* Benchmarking
* Multimodal Foundation Models
* Agentic forecasting assistants
When: Jan '25 - 8 months
Details: https://t.co/YrR99nNI9l
Join us for the Montreal AI Symposium on October 10, featuring inspiring keynote addresses from Peter Henderson and Alison Gopnik. They will share their expertise and insights on the latest in AI research and applications. Register now! https://t.co/0JB1hJwtLC
Registrations for the Montreal AI Symposium 2024 are now open! For this year’s edition, the theme of the symposium will be AI and Governance, featuring keynote talks, contributed talks, posters and a panel. The event will close with a networking cocktail. https://t.co/l79T9dYDFd
We have extended the deadline until Sep. 1st. MAIS is non-arcival, you can consider submitting your current or previous work to publicize it and recieve feedback. For more details, see call for contributions:
https://t.co/ZBybL40J6I