Gen Digital

About the Role

The Kuala Lumpur office is the technology powerhouse of MoneyLion. We pride ourselves on innovative initiatives and thrive in a fast-paced and challenging environment. Join our multicultural team of visionaries and industry rebels in disrupting the traditional finance industry!

We are looking for a Machine Learning Engineer, Intern who is passionate about machine learning and eager to learn how real-world ML systems are built and deployed. As an intern, you will work closely with experienced Machine Learning Engineers, Data Scientists, and MLOps Engineers to support the development, experimentation, and improvement of machine learning models and pipelines.

This internship will give you hands-on exposure to applying machine learning techniques to real business problems, while learning best practices in software engineering, experimentation, and production ML systems. This internship will be 6 months long, starting June 2026 - December 2026. Kindly note that this internship is only open to Malaysians or international students already studying in Malaysia.

Key Responsibilities

• Assist in framing and understanding machine learning problems into technical solutions
• Support the research, development, and evaluation of machine learning models that solve real product problems
• Help analyze and prepare datasets for model training, testing, and validation
• Assist in running and monitoring model experiments and performance metrics
• Perform basic statistical analysis to help evaluate model results and business impact
• Build and automate machine learning pipelines for training, testing, and deployment
• Contribute to production ML systems by monitoring, optimizing, and maintaining deployed models
• Collaborate with Machine Learning Engineers, Data Scientists, and MLOps Engineers to learn system design and best practices
• Help improve internal tools, libraries, or documentation related to machine learning development
• Follow and learn test-driven development and engineering best practices for machine learning systems

About You

• Currently pursuing a degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field
• Strong foundation in mathematics, statistics, or related quantitative disciplines
• Basic to intermediate programming skills, preferably in Python (SQL is a plus)
• Familiarity with machine learning concepts, predictive analytics, or statistical modelling
• Exposure to machine learning libraries such as scikit-learn, XGBoost, or LightGBM is a plus
• Interest in learning how machine learning models are developed and deployed in production
• Familiarity with version control (e.g. Git) and basic software engineering concepts
• Any exposure to MLOps tools (e.g. MLflow, DVC) or cloud technologies (AWS, Docker, Kubernetes) is a bonus but not required
• Curious, proactive, and eager to learn in a fast-paced environment
• Good communication skills and ability to work collaboratively in a team

What You'll Gain

• Hands-on experience building, training, and evaluating machine learning models in real-world, production-oriented use cases.
• Mentorship from experienced Machine Learning Engineers, Data Scientists, and MLOps Engineers throughout the model development lifecycle.
• Exposure to industry-standard machine learning frameworks, experimentation workflows, and best practices in applied ML.
• Practical understanding of how machine learning solutions are designed, tested, and deployed at scale in a fintech environment.
• Opportunity to contribute meaningfully to impactful machine learning projects that support MoneyLion’s AI-driven products and decision-making.

What's Next...

After you submit your application, you can expect the following steps in the recruitment process:

• TA Screening Call
• Take Home Assessment
• Interview - Hiring Manager (Virtual or face-to-face, 1.5 hours)

What We Value

We value growth-minded and collaborative people with high learning agility who embody our core values of teamwork, customer-first and innovation. Every member of the MoneyLion Team is passionate about fintech and ready to give 100% in helping us achieve our mission.

Working At MoneyLion

At MoneyLion, we want you to be well and thrive. Our generous benefits package includes:

• Competitive salary packages
• Comprehensive medical, dental, vision and life insurance benefits
• Wellness perks
• Paid parental leave
• Generous Paid Time Off
• Learning and Development resources
• Flexible working hours

MoneyLion is committed to equal employment opportunities for all employees. Inside our company, every decision we make regarding our employees is based on merit, competence, and performance, completely free of discrimination. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Within that team, no one will feel more “other” than anyone else. We realize the full promise of diversity and want you to bring your whole self to work every single day.

#LI-MLN

Gen is proud to be an equal-opportunity employer, committed to diversity and inclusivity. We base employment decisions on merit, experience, and business needs, without considering race, color, national origin, age, religion, sex, pregnancy, genetic information, disability, medical condition, marital status, sexual orientation, gender identity or expression, military or veteran status, or other unlawful factors. Gen prohibits discrimination based on these protected characteristics and recruits talented candidates from diverse backgrounds.

We consider individuals with arrest and conviction records and do not discriminate against employees for discussing their own pay or that of other employees or applicants. Learn more about pay transparency.

To conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government.