Machine Learning Engineer, Intern
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| Company Name | MoneyLion |
| Company Type | Private |
| Job Type | Full-Time |
| Salary Range | Market Competitive |
| Location | Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia |
| Qualifications | Bachelor’s Degree |
| Experience | No Experience / Fresh |
Job Overview
MoneyLion is seeking a Machine Learning Engineer Intern to join their team in Kuala Lumpur, Malaysia. This internship offers a unique opportunity to contribute to cutting-edge financial technology, leveraging AI to power personalized products and content within a leading FinTech super app.
Company Overview
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, and 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.
Quick Details
- Salary Range: Market Competitive
- Job Type: Full-time
- Qualifications: Bachelor’s Degree (in progress)
- Experience: No Experience / Fresh
Key Responsibilities
- Assist in developing and deploying machine learning models for financial products.
- Contribute to data collection, cleaning, and preprocessing for ML projects.
- Participate in model evaluation, testing, and performance monitoring.
- Collaborate with engineering and product teams to integrate ML solutions.
- Research and apply new machine learning techniques and algorithms.
- Document development processes and model specifications.
Requirements
- Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Strong foundational knowledge of machine learning concepts and algorithms.
- Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Familiarity with data structures, algorithms, and software development principles.
- Excellent problem-solving skills and a proactive attitude.
- Ability to work effectively in a fast-paced, collaborative environment.
Benefits
- Gain hands-on experience in a leading financial technology company.
- Opportunity to work on real-world AI and machine learning challenges.
- Mentorship from experienced Machine Learning Engineers.
- Exposure to a dynamic and innovative FinTech environment.
- Potential for future full-time employment opportunities.
- Develop valuable skills in a rapidly growing industry.
