Apache Flink, Java Programming, Keras software library, Kotlin, Machine learning techniques, Python Programming, PyTorch, Scala Programming, SPARK Programming, TensorFlow
Airwallex is the leading financial technology platform for modern businesses growing beyond borders. With one of the world’s most powerful payments and banking infrastructure, our technology empowers businesses of all sizes to accept payments, move money globally, and simplify their financial operations, all in one single platform.
Established in 2015 in Melbourne, our purpose is to connect entrepreneurs, business builders, makers and creators with opportunities in every corner of the world. Today, Airwallex has a global footprint across Asia-Pacific, Europe, and North America.
As an ML engineer, you will work with a team of ML engineers on interesting ML problems in the risk management domain. You will build sophisticated features and models based on real world transaction data. We expect you to experiment with different features; try out various model architectures, from random forest, xgboost to DNN, LSTM and graph model; tune model performance; and build applications on top of models to achieve business values.
Responsibilities:
Qualifications:
At Airwallex you’ll have the ability to make an impact in a rapidly growing, global fintech. We want you to share in our success, which is why you’ll be offered a competitive salary plus valuable equity within Airwallex. We also like to ensure we create the best environment for our people by providing a collaborative open office space with a fully stocked kitchen. We organise regular team building events and we give our people the freedom to be creative.
Airwallex is a multinational financial technology company offering financial services and software as a service (SaaS). Founded in 2015 in Melbourne, Australia, the company is a financial services platform providing foreign exchange transactions to businesses through a proprietary banking network and its API.