Staff Machine Learning Engineer (ML Portfolio)
AffirmFull Time
Expert & Leadership (9+ years)
Candidates must have at least 3 years of experience with common ML libraries such as scikit-learn, TensorFlow, PyTorch, or Keras. A Bachelor's degree or higher in Computer Science, Engineering, or a related technical field is required, along with proficiency in Python and SQL. Experience in payment risk or international e-commerce risk, and applying LLMs to real-time risk management are considered a plus.
The Senior Machine Learning Engineer will analyze business requirements and translate them into machine learning problems. Responsibilities include data engineering, feature engineering, model training, and deployment. This role involves identifying issues, proposing solutions through analysis, and developing ML platforms and tools to streamline workflows. Collaboration with cross-functional teams to apply models to solve business problems is also a key aspect of the role.
Cross-border payment solutions for businesses
Airwallex provides cross-border payment solutions for businesses of all sizes, including small to medium-sized enterprises and large corporations. The company offers a range of financial services such as multi-currency accounts, international money transfers, foreign exchange services, and payment gateway solutions. These services are designed to facilitate efficient and cost-effective international transactions. Airwallex uses advanced technology to ensure that these transactions are fast and secure. Unlike many competitors, Airwallex focuses on building financial infrastructure that supports the digital economy, allowing businesses to operate seamlessly across borders. The company's goal is to simplify global payments and make them accessible to businesses worldwide.