Team
AMAP-ML: Foundation AI for Spatial and Generative Intelligence
I lead AMAP-ML at Alibaba Group, a 100+ member product-facing AI team building foundation systems for Alibaba AMAP’s mapping, mobility, local-service, content, and interactive AI scenarios.
Our mission: Build foundation AI for spatial intelligence and generative intelligence. We connect academic rigor, open-source reproducibility, engineering discipline, and real-world product deployment.
Product Anchors
Open Source
Our work is available on GitHub at AMAP-ML, with 30+ active projects and 10,000+ cumulative stars across AMAP-ML and earlier open-source releases including YOLOv6 and MobileVLM.
| Project | Stars | Description |
|---|---|---|
| SkillClaw | Collective skill evolution for AI agents | |
| FluxText | Controllable scene-text editing and visual asset generation | |
| Code2World | GUI world model via renderable code generation | |
| DreamX-World | Interactive world model for virtual environments | |
| GPG | Simple and strong RL baseline for reasoning | |
| MobilityBench | Route-planning agent benchmark for real-world mobility | |
| YOLOv6 | Industrial-grade real-time object detection | |
| MobileVLM | Real-time mobile vision-language model |
Join AMAP-ML
We are looking for talented interns, full-time researchers, and AI engineers who want to build research-grade AI systems grounded in real map, mobility, local-service, and interactive AI scenarios.
What We Offer
- Competitive compensation and benefits
- Publish at top venues while building systems with real product paths
- Work on large-scale training, evaluation, open-source releases, and deployment
- Access to AMAP scenarios in maps, mobility, local services, and interactive AI
- Collaborate across research, engineering, and product teams
- Grow in a team where strong first-author work, system ownership, and real product impact are all valued
What We Look For
- Strong background in ML, CV, NLP, RL, agents, multimodal learning, or generative AI
- Publications at top venues (preferred but not required for interns)
- Solid coding skills and engineering mindset
- Strong research taste and the ability to turn ideas into reproducible systems
- Interest in AI systems that are evaluated by both academic rigor and real users
Interested? Send your CV, representative publications or projects, and the direction you want to work on to cxxgtxy@gmail.com.
Recommended subject: AMAP-ML Application - Your Name - Direction.
