Name: DataKrk – Scheduling at Scale & Fragile AI Alignment
Start: 2025-07-10T18:00:00+02:00
End: 2025-07-10T20:00:00+02:00
Location: Google Kraków Office

After a short pause, we’re rebooting Kraków’s engineering meet-ups with an evening devoted to **Kubernetes scheduling and AI safety**. Join us on **Thursday, 10 July 2025, at 18:00** in the **Tech Talks Space at the Google Office (Rynek Główny 12)**. Expect two deep-dive sessions, cold refreshments and plenty of hallway chat with fellow cloud-and-ML enthusiasts.

The first half of the night belongs to three engineers from Google’s Kraków office.

First, **Michal Wysokinski** will talk about **AI Training at Scale: Industry Patterns and Trends.** Training massive AI models often feels more like alchemy than engineering, especially when dealing with complex infrastructure and tight budgets. This session focuses on the practical side: the tools, techniques, and strategies needed to build efficient, performant, and manageable large-scale training pipelines. We'll move past the buzzwords and get into specific engineering challenges and solutions. We’ll dive into the crucial role of Kubernetes, explore the nuances of topology-aware scheduling and high-speed interconnects, discuss real-world resource optimization techniques, and delve into the politics and practicalities of fair resource sharing in large organizations. Expect actionable strategies, not just hype.

Then, **Ania Borowiec** (Software Engineer, GKE AI Training) and **Maciej Skoczeń** (Software Engineer & SIG-Scheduling Chair) will give an **“Overview of Scheduling in Kubernetes.”** In just thirty minutes they will unpack how the kube-scheduler decides where every Pod—and increasingly, entire AI training jobs—should run, even in clusters scaling past **65 000 nodes**. You’ll hear what the open-source scheduling team is building next and why those ideas matter for anyone running large-scale workloads.

Right after the Q&A with the Google team, we’ll shift gears to AI alignment. **Przemek Maciołek** —currently a Staff Data Engineer at Airbnb, formerly a founder, architect, VP Engineering and ML/NLP researcher - will argue that **“AI Alignment Is More Fragile Than You Think.”** He’ll walk through experiments showing how a handful of malicious examples can derail a large language model’s moral compass via lightweight fine-tuning. A live demo will set the stage for an open discussion on what these findings mean for practitioners and end-users alike.

### **Evening flow**

* **18:00** Registration, refreshments and beverages
* **18:15** *AI Training at Scale: Industry Patterns and Trends* – Michal Wysokinski (30 min)
* **19:00** *Overview of Scheduling in Kubernetes* – Google GKE AI Training team (30 min)
* **19:45** *AI Alignment Is More Fragile Than You Think* – Przemek Maciołek (≈30 min)
* **20:15 and on** Networking over more beverages

### **Logistics**

The entrance is through the main reception of Google Kraków—ask for the **Tech Talks Space** on Level 2. All talks and discussions will be held in **English**. We provide air-conditioning (😅), refreshments and beverages. Attendance is free, but seats are limited, so please register early.

### **Speakers**

* **Michal Wysokinski** is a Software Engineering Manager at Google, where he leads the GKE AI Training OSS team. He's currently immersed in the complex challenge of ensuring Kubernetes is not just a place, but the definitive best place to run large-scale AI training workloads.
* **Ania Borowiec** has been a software engineer at Google since 2011; today she focuses on improving kube-scheduler for both GKE and the broader OSS community.
* **Maciej Skoczeń** is a software engineer at Google and co-chair of **SIG-Scheduling**, driving the roadmap for Kubernetes’ core scheduling engine.
* **Przemek Maciołek** is a Data Engineer at Airbnb with a PhD in ML/NLP, a track record of scaling start-ups and a knack for turning napkin sketches into production systems ten-times faster than you thought possible.

**Important:** The venue has a limit for 25 attendees, so first come, first serve.

See you at Google!

Artur Skowroński

DataKRK

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DataKrk – Scheduling at Scale & Fragile AI Alignment

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