Principal Machine Learning Engineer

About the Role
They say no man is an island, and this notion holds particularly true for this role. As our Machine Learning Engineer, you’ll be an instrumental player within the Data Science and Machine Learning team at GoPay - Southeast Asia's largest e-money wallet platforms and Indonesia's leading digital payments provider. In this role, you’ll lead a team of machine learning engineers to deploy and maintain machine learning models for GoPay's products and services, and devise ML model training/prediction pipelines for the team. You’ll get ample opportunity to tackle and solve complex ML issues, and your efforts will help ensure a robust Gojek Payments platform.

What You Will Do

• Manage a team of machine learning engineers who will be responsible for scaling and deploying machine learning models for GoPay
• Communicate/collaborate with stakeholders from data science, engineering and business teams
• Create and maintain ML model training/prediction pipelines in production
• Create re-usable tools and frameworks for ML model deployment and monitoring
• Conduct internal workshops and external meetups, participate in external conferences, and give talks

What You Will Need

• Experience managing a team of 2-3 engineers in building production ML pipelines for model training/prediction
• A passion for scaling and automating data science prototypes to create business impact
• Experience working with large data sets, coming from varied sources
• Experience working with open source ML libraries such as Tensorflow, PyTorch and XGBoost
• Experience working with ML model training/deployment tools (such as Airflow, Kubeflow, Seldon)
• Familiarity with data engineering tools (Flink/Spark/Kafka etc)
• Experience with both object-oriented and functional programming concepts and languages
• A Bachelor’s or Master’s degree in computer science, with at least 8 years of relevant work experience

About the Team
Our GoPay Data Science team is a group of over 15 team members based across Singapore, India and Indonesia. Our role is to build critical ML components/models into the engineering systems to ensure GoPay remains a safe, trusted, and seamless way to conduct payments in Southeast Asia and beyond. Our team members come from varied backgrounds, and bring with them a wide set of skills and expertise (mathematics, statistics, machine learning, structured learning, among others) which we utilize to solve the complex business problems we're presented. We are enthusiastic about data science techniques and methods, as well as the business impacts of our models, and have numerous team forums where lively sharing discussions and presentations occur. 
When we aren’t working, you’d probably find us whipping up new recipes in the kitchen, reading up on the latest best sellers, or trying to survive a brutal YouTube HIIT workout at home. We focus on nurturing and supporting one another both personally and professionally, and work together to get the job done.

About Us
Gojek is a Super App. It’s one app for ordering food, commuting, digital payments, shopping, hyper-local delivery, and dozen other products. It is Indonesia’s first and only decacorn. It's also the only Southeast Asian startup to be part of Fortune's list of 'Companies That Changed The World.'
Our Mission: To create and scale positive socio-economic impact for our customers, driver-partners, business and MSMEs.
As of 2018, Gojek processed more than $9 billion annualised gross transaction value across all markets where it operates - in Singapore, Thailand, Vietnam and Indonesia. We have the largest food delivery product in Asia, (outside of China), and the largest payments wallet in Southeast Asia.
Our investors include Google, Facebook, PayPal, Sequoia Capital, Tencent Holdings among others.
Gojek is committed to building a diverse and inclusive workplace and is an equal opportunity employer. We do not discriminate on the basis of race, religion, national origin, gender, gender identity, sexual orientation, disability, age, education status, or any other legally protected status.