All sessions
LLM RecsysSession
Spotify LLM Recsys
Jacqueline Wood, Yves Raimond
- When
- Tuesday, June 3011:10 AM – 11:30 AM · 20 min
- Where
- Track 7San Francisco, CA · imported from ai.engineer's public schedule feed
Speakers (2)
Jacqueline Wood
Staff Machine Learning Engineer, Spotify
Jacqueline Wood is a Staff Machine Learning Engineer at Spotify, where she builds personalized, language-steerable generative recommenders. Her applied research focuses on adapting open-weight LLMs with semantic IDs to connect natural-language intent with Spotify catalog entities.
Yves Raimond
SVP/GM, AI & Personalization, Spotify
Senior leader for AI and personalization at Spotify.
More in LLM Recsys
- Tokens In, Engagement Out: Training LLM-RecommendersTuesday, June 30 · 10:45 AM – 11:05 AM · Track 7
- LLM Recsys at DoorDashTuesday, June 30 · 11:40 AM – 12:00 PM · Track 7
- Open Q&A: LLM RecsysTuesday, June 30 · 12:05 PM – 12:25 PM · Track 7
- From approval loops to autonomous agents with Docker pt1Tuesday, June 30 · 1:30 PM – 1:50 PM · Track 7
- From approval loops to autonomous agents with Docker pt2Tuesday, June 30 · 1:55 PM – 2:15 PM · Track 7
For developers: this programme is open data — JSON, iCal, schedule XML and an MCP endpoint.Show endpointsHide
- JSONEvery published session and speaker, in one request./aie-worldsfair-2026-import/feed.json
- iCalSubscribe in Google, Apple or Outlook Calendar./aie-worldsfair-2026-import/feed.ics
- Schedule XMLfrab / pentabarf — the format conference apps import./aie-worldsfair-2026-import/feed.xml
- MCP + RESTPoint Claude at the programme. OpenAPI 3.1 included./agents
No key, no signup, CORS open. Everything here is generated from the same data the organisers edit.