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.

100+ product-facing AI team members
30+ open-source AMAP-ML projects
45+ recent top-venue papers from AMAP-ML
300M+ users served by AMAP products every day

Product Anchors

Spatial AI
Spatial Intelligence
Agents and models that understand, reason, plan, and act in real-world map, mobility, urban, autonomous-driving, and local-service scenarios.
MobilityBench · Thinking-with-Map · AutoDrive-R2 · SpatialGenEval · DSFNet
Generative AI
Generative Intelligence
AIGC systems that create, edit, evaluate, and control visual assets, videos, 3D scenes, media content, and interactive experiences.
FluxText · DCW · S2-Guidance · Eevee · RL3DEdit · Omni-Effects
Core AI
Reasoning Agents & World Models
Reinforcement learning, tool use, skill evolution, interactive simulation, GUI world models, and benchmarks for dynamic response capabilities.
SkillClaw · GPG · Tree-GRPO · CoEvolve · DreamX-World · Code2World
Multimodal
Multimodal Understanding
Vision-language reasoning, visual policy optimization, spatial intelligence evaluation, image quality assessment, and multimodal in-context learning.
UniVG-R1 · RealQA · SpatialGenEval · Q-Hawkeye · STV
Architecture
Foundation Architectures
Efficient attention, unified pretraining for generation and understanding, end-to-end pixel generation, and diffusion language models.
FASA · USP · EPG · SCALAR · AR-MAP
Perception
Perception & Deployment
Object detection, semantic segmentation, 3D perception, and open-vocabulary perception for real-world AI deployment.
YOLOv6 · UPRE · PLUG · SCTNet · AeDet

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.

ProjectStarsDescription
SkillClawGitHub starsCollective skill evolution for AI agents
FluxTextGitHub starsControllable scene-text editing and visual asset generation
Code2WorldGitHub starsGUI world model via renderable code generation
DreamX-WorldGitHub starsInteractive world model for virtual environments
GPGGitHub starsSimple and strong RL baseline for reasoning
MobilityBenchGitHub starsRoute-planning agent benchmark for real-world mobility
YOLOv6GitHub starsIndustrial-grade real-time object detection
MobileVLMGitHub starsReal-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.

LLM agents Reinforcement learning World models Multimodal reasoning Spatial intelligence Generative AI Foundation architectures Efficient deployment

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.