Senior Software Engineer - Machine Learning

Our JourneyShopBack was born one night in 2014 when co-founders Henry and Joel were toying around (with entrepreneurial ideas) in Henry's car, sparking the concept of earning Cashback while shopping online. The ShopBack Group has now grown to become the leading shopping, rewards, and payments platform in Asia-Pacific, with 45 million shoppers across 12 markets and more than half a million transactions powered for 20,000 partners daily. Fresh off its debut in the European market, ShopBack is seeking thrill-seekers to join the journey of building The World's Most Rewarding Way to Shop. Get ready for the ride of a lifetime: a blend of startup spirit woven into a solid business foundation.

Your Adventure Ahead

• Utilize Machine Learning: Enhance our products and improve the shopping experience for both users and merchants. This includes leveraging machine learning in areas such as recommendations, personalization, risk, fraud detection, search, and more.
• Subject Matter Expertise: Be a subject matter expert in a specific ML domain while maintaining a solid understanding of product and user challenges.
• Handle Ambiguity: Navigate and resolve ambiguous problem definitions effectively with or without dedicated Product Manager support.
• Metrics Driven: Understand critical business and product metrics, apply the right tools and technologies, and drive efforts to positively influence those metrics.
• Experimentation Culture: Foster a fast-paced, high-iteration experimental culture to test and refine solutions quickly.
• Collaboration: Work effectively with cross-functional partners and stakeholders to set and achieve optimal outcomes.
• Curious: Interest in exploring and learning the latest technologies in the industry.

Essentials to Succeed

• Significant prior success as a Machine Learning Engineer working on challenging problems at scale
• 2-3 years of industrial ML experience, with expertise in modeling and statistical modeling
• Good understanding of data collection, aggregation, analysis, visualization, productionisation, and monitoring of ML products - aka MLOps
• Ability to develop ML Products with good engineering practice and mindset
• Strong desire to solve tough problems with scientific rigour at scale
• An understanding of the value derived from getting results early and iterating
• Education in a quantitative field such as Computer Science, Operations Research, Statistics, Econometrics or Mathematics
• Strong skills in Python and machine learning and deep learning libraries (Pytorch and Tensorflow)
• Passion to answer Product/Engineering questions with data

ShopBackers' DNAGrit - We tackle all challenges head-on, working together to solve problems and achieve success.Hunger - We value hard work, and having relentless drive.Speed - We move fast and have a bias for action, all to deliver maximum impact.Impact - We focus on results, always aiming for the best possible outcomes and timelines.Growth - We embrace a growth mindset, constantly striving to learn, improve, and excel in our roles.
Exclusively for ShopBackersCareer progression paths and opportunities to take on greater challenges that help you realise your ambitions.Be part of a winning team on a journey to global scale.Competitive compensation based on your performance.Candid, open, and collaborative culture where feedback is valued, for everyone to grow and improve every day.Work-From-Anywhere benefit to enable you to thrive personally and professionally.