Machine Learning Engineer, Intern - MoneyLion

About Gen

Gen is a global company dedicated to powering Digital Freedom through its trusted consumer brands including Norton, Avast, LifeLock, MoneyLion and more. Our combined heritage is rooted in financial empowerment and cyber safety for the first digital generations, and today we deliver award-winning cybersecurity, online privacy, identity protection and financial wellness solutions to nearly 500 million users in more than 150 countries.

Together, we share a collective passion and vision to protect consumers and help them grow, manage and secure their digital and financial lives. We’re always looking for smart, fearless and high-impact talent who see AI as a teammate – leveraging it to move faster and deliver meaningful results.

When you’re part of Gen, you’ll have the flexibility, tools and support to do your best work and grow your career..

At Gen, we are scrappy and relentlessly customer driven. We create room for healthy debate, experimentation and continuous learning, and we seek out people with different experiences, identities and ideas to join our team. You’ll work with people who back each other, respect each other and understand that our differences are a competitive advantage.

If this sounds like you, we’d love you to be part of Gen.

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. Kindly note that this internship is only open to Malaysian nationals, with final year students preferred.

About MoneyLion

MoneyLion is a leader in financial technology powering the next generation of personalized products and content, with a top consumer finance super app, a premier embedded finance platform for enterprise businesses and a world-class media arm. MoneyLion’s mission is to give everyone the power to make their best financial decisions. We pride ourselves on serving the many, not the few; providing confidence through guidance, choice, personalization; and shortening the distance to an informed action.

In our go-to money app for consumers, we deliver curated content on finance and related topics, through a tailored feed that engages people to learn and share. People take control of their finances with our innovative financial products and marketplace - including our full-fledged suite of features to save, borrow, spend, and invest - seamlessly bringing together the best offers and content from MoneyLion and our 1,100+ Enterprise Partner network, together in one experience. MoneyLion’s enterprise technology provides the definitive search engine and marketplace for financial products, enabling any company to add embedded finance to their business, with advanced AI-backed data and tools through our platform and API. Established in 2013, MoneyLion connects millions of people with the financial products and content they need, when and where they need it.

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'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)

Gen is an equal opportunity employer, and we’re committed to fair, inclusive practices at every stage of the candidate and employee journey. Employment decisions are based on merit, experience and business needs.