Canopy

Lalamove - Machine Learning Engineer

Mid Level
Hong Kong
Machine Learning Engineer
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About Us

Lalamove provides on-demand and same-day delivery services by connecting you to our driver partners on our mobile and web apps.


Who we're looking for

Lalamove is disrupting the logistics industry by connecting customers and drivers directly through our technology. We offer customers a lightning fast and convenient way to book delivery and moving services whether they are at their home, at work or on the go. People talk about O2O, we live it. Onto our fifth year as a start-up, now operating in Hong Kong, China, Taiwan, Thailand, Singapore, Philippines and Vietnam, our aspirations don’t stop there as our model has the ability to transform how goods move in any city worldwide.

As a Machine Learning Engineer at Lalamove, you will be part of the growing Data Science team working together with Data Engineers, Data Scientist and Software Engineers to support different functional departments in the headquarters, as well as our offices across Southeast Asia. You will be responsible for creating the technology that brings to production data-driven solutions - used for making our products, services and operations intelligent. You will work on a variety of challenges including Dynamic Pricing, Order Allocation, ETA, Fraud Detection, Vehicle Routing and many other applications you will help go live. The ideal candidate will have a passion for building machine learning systems from the ground up and for optimising them.

What we seek: 

  • Quick learner: you enjoy working with data and algorithms and have the ability to learn new frameworks and technologies quickly
  • Problem solver: you have strong critical thinking skills and willing to find creative solutions to difficult problems
  • High autonomy: organised, passionate with a can-do attitude and own end-to-end projects
  • Team player: you go the extra mile to ensure success and alignment of all parties involved
  • Evangelist: you effectively teach and promote innovative tech, challenge and influence the strategy of stakeholders



What you will be doing in this role:
  • Help shape the direction and architecture of artificial intelligence at Lalamove
  • Deploy, schedule, monitor, evaluate and optimize solutions for performance and scalability
  • Build ML development environment for data scientists to model and test prototypes
  • Collaborate with data scientists to build ML pipelines and move prototypes into large-scale production environment
  • Partner with data engineers to manage data pipeline requirements as well as infrastructure and software engineers to bring models to production
About you:
  • 3+ years of hands-on experience implementing high availability production machine learning systems
  • Experience with distributed computing technologies (e.g. Hadoop, Spark, GPUs)
  • Experience with AWS (S3, Redshift, SageMaker, Lambda) or GCP (ML Engine, KubeFlow)
  • Experience in one or more of the following: Classical ML, Deep Learning, Image Processing, NLP, Operations Research and Recommendation Systems
  • Experience with machine learning frameworks and libraries (e.g. Sklearn, H2O, XGBoost, TensorFlow, Theano, Keras, Spark MLlib)
  • Proficiency in SQL and Python
  • Good command of English

Nice to have: 

  • Familiarity with Redis and MySQL
  • Familiarity with Scala, Golang, PHP or Javascript
  • Logistics domain knowledge
What we offer:
  • Fun and diverse culture
  • International team environment
  • Annual Performance Related Bonus
  • Healthcare/Insurance Cover
  • Choose between a Mac or Windows workstation
  • Free Lalamove swag and merch!
  • Monthly credit to use on the Lalamove Application
  • Fresh Fruit delivered daily
  • Well-stocked fridge full of all the refreshments you need to get you through your day
  • Annual Summer company trips
  • 15 days paid annual leave
  • Parental Leave
  • Stunning brand new offices, a 2 min walk from MTR Kowloon Tong

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Unit 403, Innocentre, 72 Tat Chee Ave
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