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 Senior Machine Learning Scientist to help spearhead the future of our organization's technological advancements and push the boundaries of what is possible with machine learning in our industry. This position is designed for a passionate individual with a profound understanding of machine learning techniques and algorithms, along with a track record of applying this knowledge to solve complex, real-world problems.

As a Senior Machine Learning Scientist in MoneyLion, you will be at the forefront of driving innovation and efficiency across the organization. In this role, you will be pivotal in strategic planning for AI initiatives and aligning machine learning projects with business objectives. You will conduct and supervise advanced research in machine learning, leading innovative projects from conceptualization to implementation. This entails innovating and developing state-of-the-art algorithms, and then translating them into tangible solutions that have a direct impact on our business operations and strategic goals. You will be expected to keep up with the latest developments in AI and machine learning, ensuring that the business stays ahead of the curve in leveraging these technologies.

Key Responsibilities

Lead groundbreaking research in machine learning and AI, translating theoretical insights into practical applications and novel algorithms
Spearhead major projects, overseeing all aspects from research to development and implementation, ensuring alignment with organizational goals and trends
Develop, experiment and refine advanced machine learning models and algorithms into practical applications
Address and explain advance algorithm designs and complex challenges in areas such as deep learning, natural language processing, search and recommendation systems
Monitor and optimize existing algorithms for improved performance and efficiency
Evaluate the effectiveness of machine learning models offline and online with well-defined metrics
Mentor Machine Learning Scientists and Engineers, fostering a culture of innovation and continuous learning
Work closely with cross-functional teams including Data Engineers, Product Managers, Software Engineers, Data Scientists, Machine Learning Engineers and MLOps Engineers to integrate machine learning technology into products and services
Stay at the forefront of technological advancements in machine learning and AI
Communicate complex technical concepts to non-technical audience to influence strategic decisions and provide insights on the potential impact of emerging technologies

About You

Strong mathematical, statistical or related quantitative skills
Demonstrated experience in both research and practical applications of machine learning, statistical modeling, data analysis and algorithm development
Experienced leading and managing complex machine learning projects and cross-functional teams
Strong analytical and problem solving skills, along with creativity and curiosity
Proficient in programming languages such as Python and SQL
Familiarity with machine learning frameworks and libraries like Tensorflow, PyTorch, Scikit-learn, XGBoost and LightGBM
Advanced knowledge in specialized areas such as deep learning, natural language processing, search and recommendation systems.
Excellent leadership, communication and collaboration abilities, capable of explaining and translating complex technical concepts into business insights
Preferably familiar with big data technologies like AWS, MLFLow, DVC, Metaflow
Preferably familiar with developing and deploying machine learning models in production
Commitment to continuous learning and staying informed about the latest industry trends

What's Next...

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

Online Technical Test
Interview - Talent Acquisition Team (Virtual or face-to-face)
Take-Home Assessment
Interview & Discussion of Take-Home Assessment - Hiring Manager (Virtual or face-to-face)

If you've already sent in your application for this position and were not selected, please reapply after 6 months.

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.

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.