Senior Manager, Machine Learning Engineering - Logistics Matching Systems

What You Will Deliver:

• Lead and grow a team of machine learning engineers building the core logistics matching engine

• Design data models and algorithms that assign goods delivery orders to vans and trucks efficiently, based on location, vehicle capacity, time constraints, and driver preferences

• Define and execute the ML roadmap, balancing business impact, technical feasibility, and experimentation speed

• Translate operational requirements into ML system architecture and model objectives

• Monitor and improve matching performance, including assignment success rate, delivery latency, fulfillment efficiency, and utilization

• Collaborate cross-functionally with Product, DevOps, and Operations to ensure solutions align with real-world use cases

• Guide team in model experimentation, A/B testing, validation, deployment, and iteration

• Establish metrics, dashboards, and processes to track system effectiveness, usage, and ROI

• Promote engineering excellence including reproducibility, documentation, and testing best practices

Who You Are:

• 5+ years of experience in applied machine learning, with at least 2 years in a technical leadership or management role

• Strong background in building ML systems for real-time logistics, dispatch, supply-demand matching, or dynamic marketplaces

• Demonstrated ability to design, evaluate, and deliver production ML systems

• Experienced in designing data models, pipelines, and algorithms in transportation or delivery contexts

• Familiarity with data architecture as it relates to supporting advanced data analytics and business intelligence tools

• Hands-on knowledge of ML tools and data platforms (e.g. Python, scikit-learn, TensorFlow/PyTorch, Spark, SQL, AWS/GCP)

• Excellent communication and collaboration skills with cross-functional stakeholders

• Strategic mindset with a focus on solving real-world operational problems

• Based in Hong Kong or willing to relocate to work closely with local stakeholders

Bonus Points:

• Familiarity with Hong Kongs urban and transportation landscape

• Experience with dispatch optimization, constrained matching, vehicle routing problems, or reinforcement learning

• Experience managing remote or distributed engineering teams

Information :

• Company : Gogo Tech Ltd
• Position : Senior Manager, Machine Learning Engineering - Logistics Matching Systems
• Location : Kwun Tong, Kowloon Peninsula
• Country : HK