If you’re looking to meet @MicrosoftAI at #ICML2026 follow me and I’ll keep you posted on booth slots, we will have a mix of Recruiters like myself and @AlasTriin and some of our ML Researchers ready to discuss our latest frontier models & careers! #hiring
Shaping our culture at Microsoft AI is one of the most important responsibilities I have. Keeping our team lean and talent dense is critical to our success. It's something I've thought very carefully about over the years.
I thought I'd share a few of the principles we ask everyone in the team to sign up to.
Everything below flows from one conviction: a disciplined, evidence-based, careful methodology compounds faster than heroic and chaotic improvisation. We don't always get it right but this is what we strive for:
- Scientific rigor above all else. We set hypotheses, rigorously ablate, and make data-driven decisions.
- Constantly think simple. Simple methods scale best. No recipe changes unless deeply justified.
- Know your data. Data is our lifeblood. No data black boxes. Every person is responsible for every token they add to the model.
- Know your evals. No narratives without numbers. Production evals and trust internal metrics, over academic benchmarks.
- Don't celebrate results prematurely. Maintain healthy skepticism. Check for reward hacking. Never cherry pick results.
- Always document everything. Positive and negative results are equally critical. Label every plot and axes. Summarize hypotheses and conclusions. Don't use jargon.
- Be precise and use neutral language. Describe situations accurately without unnecessary emotional charge.
- Retrospectives drive everything. The culture and process flywheel is critical to our hill climbing machine. We constantly run Retros to iterate and improve.
- We’re an IC-first team. Management is a service, not the goal. We’re here to empower, unblock and accelerate the exceptional work of our world class ICs.
- User focus. We build our models for end users. Developing user empathy begins with us. We always strive to use our own models first so we can hill climb for our users.
- Take ownership for execution. Report issues, provide logs for debugging. First try to fix things yourself. And see it right through to completion.
The quality of our thinking determines the quality of our models.
We're hiring. Check out open roles here: https://t.co/4NerpgWhcl
If you’re coming to #ICML2026 🇰🇷, this Seoul Guide might be All You Need!
I’ve lived in Seoul for 20+ years and curated this all-in-one guide: Top 5 must-visits, 100+ recs with Google Maps, practical local tips, and more.
Check it out: https://t.co/AdN1sHMg1I
DMs are open and happy to give more details!
I'll be at #ICML2026 representing #MicrosoftAI alongside some brilliant researchers from the lab.
If you're building the future instead of waiting for it, we should meet. Come find us at the Microsoft booth or DM me directly.
#hiring#ICML
Big milestone from Microsoft AI: three top‑tier models shipped!
We’re building fast and hiring, come help shape what’s next.
Microsoft AI Career page: https://t.co/khjaEimPOu
The most accurate model across 25 languages, faster transcription speeds, and stronger performance in real‑world noise. MAI‑Transcribe‑1 sets a new bar for speech recognition. Learn more + try it today: https://t.co/zBY6ZuqWMN
Three models. Three top-tier results. All shipped within just a few months by the @MicrosoftAI team.
- MAI-Transcribe-1 dropped today, the most accurate transcription model in the world across 25 languages according to FLEURS WER benchmark.
- MAI-Voice-1 sets a new standard for natural speech.
- MAI-Image-2 lands as a top 3 model family on @arena.
We've been building with them - now you can too. All 3 available now on Microsoft Foundry.