Senior Software Engineer, Backend (Food)

Get to know the Role:

• Identify business-wide problems and be responsible for guiding the project team in solving problems using a combination of Big data, Machine learning and Operations Research techniques

• Build, validate, test, and deploy machine learning/ deep learning models search, recommendation or ranking

• Drive product improvements and roll-out of new features

The day-to-day activities:

• Manage multiple concurrent projects and drive them to successful completion

• Communicate problem formulation, solution, analyses and insights to team members and stakeholders

• Design and build machine learning and optimisation algorithms efficiently

• Integrate, simulate and test the impact of algorithms and features

• Develop and execute necessary analyses, simulations or A/B tests to validate models and identify improvement opportunities

• Store, retrieve and visualise results in a manner that facilitates required analyses

The must haves:

• Minimum 4 years of relevant experience in one or more of the following:

  • Developing machine learning/ deep learning models for behaviour, preference or demand modelling

  • Developing optimization algorithms to solve large-scale network flow/ combinatorial/ stochastic problems

  • Deploy and maintain scalable machine learning infrastructure

• BS in Computer Science, Computer Engineering, Mathematics, Statistics, Operations Research, or related technical disciplines

• Strong fundamentals in Machine Learning, Search and  Recommendation System

• Proficient in one or more of the following programming languages: Python, Scala, Golang

• Experience with machine learning framework (scikit-learn, Spark MLlib etc)

• Detail-oriented and efficient time manager who thrives in a dynamic and fast-paced working environment

• Able to present complex subjects clearly and coherently to non-domain experts

• Detail-oriented and efficient time manager who thrives in a dynamic and fast-paced working environment

• Able to present complex subjects clearly and coherently to non-domain experts