About the job
About Gen Digital
Gen Digital is a global organization focused on empowering digital freedom through well-known consumer brands such as Norton, Avast, LifeLock, and MoneyLion. With a strong foundation in financial independence and cyber safety, Gen delivers cybersecurity, online privacy, identity protection, and financial wellness solutions to nearly 500 million users in over 150 countries.
The company values a shared vision to help consumers manage and secure their digital and financial lives. Gen encourages team members to use AI as a collaborative tool to drive progress and achieve meaningful outcomes. Flexible work arrangements, generous time off, competitive pay, and comprehensive wellness programs are part of the support offered to employees. The culture emphasizes resourcefulness, customer focus, open debate, experimentation, and continuous learning. Gen welcomes diverse backgrounds and perspectives, seeing them as a source of strength.
Role Overview: Machine Learning Engineer
This position is based in Kuala Lumpur, the technology center for MoneyLion. The team works on innovative projects in a collaborative, multicultural environment, aiming to reshape the finance sector.
What You Will Do
- Design, build, and maintain machine learning systems for real-world business challenges
- Prototype, implement, and test machine learning methods to address specific use cases
- Lead efforts to automate, architect, and optimize machine learning workflows and processes
- Define and enforce best practices for test-driven model development across the Data Science team
What We Look For
- Strong programming skills for developing and maintaining production-grade machine learning models
- Ability to translate business problems into effective machine learning solutions
- Experience with prototyping and implementing machine learning methods
- Comfort with leading process improvements and setting technical standards for the team
Work and Culture
Gen Digital offers flexibility, support, and the chance to work with colleagues who value respect and collaboration. The company believes that diverse experiences and viewpoints help drive better results. Employees are encouraged to experiment, learn, and challenge ideas in a supportive setting.

