**Multiple Openings \| Principal / Senior / Mid\-Level**
**Research Scientist \| Machine Learning Engineer \| Optimization Engineer \| AI Engineer \| Data Scientist**
Location: Hanoi / Ho Chi Minh City
**About the Team**
The Algorithm Research \& Development Division is building the core intelligence behind one of the fastest\-growing ride\-hailing platforms in Southeast Asia.
As we continue expanding across Vietnam and international markets, we are looking for exceptional scientists and engineers to solve large\-scale, real\-world optimization and AI challenges that directly impact millions of daily trips.
Whether your expertise is in Optimization Research, Machine Learning, Statistics, Deep Learning, or AI Engineering, you will have the opportunity to develop production\-grade algorithms that improve transportation efficiency, pricing, matching, routing, fraud detection, and customer experience.
**Areas of Focus**
Depending on your background and interests, you may work on one or more of the following domains.
***Machine Learning \& Statistics***
- Demand and supply forecasting across time and geographical regions.
- ETA and pickup time prediction.
- Customer and driver behavior modeling.
- Dynamic acceptance probability prediction.
- Cancellation analysis and behavioral analytics.
- Fraud detection and anomaly detection.
- Time\-series forecasting and predictive analytics.
***Operations Research \& Optimization***
- Dynamic pricing optimization.
- Vehicle routing and dispatch optimization.
- Supply\-demand balancing.
- Promotion and incentive optimization.
- Delivery scheduling optimization.
- Revenue and market share optimization.
- Large\-scale mathematical optimization models.
***Artificial Intelligence \& Deep Learning***
- Large Language Models (LLMs) and AI Agents.
- Retrieval\-Augmented Generation (RAG).
- Computer Vision and OCR.
- Multi\-modal AI.
- Restaurant and merchant image understanding.
- Intelligent operational assistants.
- AI\-powered fraud detection and business automation.
**Key Responsibilities**
- Research, design, and develop scalable algorithms for large\-scale ride\-hailing systems.
- Transform business challenges into mathematical, statistical, or machine learning solutions.
- Build production\-ready AI and optimization models with measurable business impact.
- Collaborate closely with Product, Engineering, Data, and Business teams.
- Optimize algorithm performance, scalability, and reliability.
- Design experiments and evaluate algorithm effectiveness using appropriate metrics.
- Continuously improve models based on real\-world operational data.
- Contribute to the evolution of GSM's core algorithm platform.
**Qualifications**
**Required**
- Bachelor's, Master's, or Ph. D. in Computer Science, Artificial Intelligence, Data Science, Applied Mathematics, Statistics, Operations Research, Engineering, or related disciplines.
- Strong analytical thinking and mathematical problem\-solving abilities.
- Solid programming skills, particularly in Python.
Experience in one or more of the following domains:
- Machine Learning
- Statistics
- Deep Learning
- Operations Research
- Optimization
- Artificial Intelligence
- Data Science
- Ability to work with large\-scale datasets and complex business problems.
**Why Join US:**
- Solve real\-world algorithmic challenges at national and international scale.
- Work with massive datasets and highly complex optimization problems.
- Build AI products that directly impact millions of users every day.
- Collaborate with experienced scientists, engineers, and product teams.
- Opportunity to publish, innovate, and deploy cutting\-edge research into production.
- Contribute to the future of intelligent mobility and digital transportation.
**Open Positions**
- Principal Research Scientist
- Senior Research Scientist
- Machine Learning Engineer
- AI Engineer
- Optimization Engineer
- Operations Research Scientist
- Data Scientist
- Computer Vision Engineer
We welcome exceptional candidates from both research and engineering backgrounds who are passionate about applying advanced technologies to solve challenging, large\-scale real\-world problems.
