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Our Journey
ShopBack started as a spark of inspiration one night in 2014 when Henry and Joel were brainstorming ideas in Henry’s car. That lightbulb moment — earning Cashback while shopping online — was just the beginning. Fueled by the countless possibilities, the team locked themselves in a hotel room for 24 hours to code the very first prototype. Their mission? To revolutionize shopping by helping advertisers market more cost-effectively, while making every purchase more rewarding for shoppers.
Today, ShopBack is the leading shopping, rewards, and payments platform in Asia-Pacific, empowering 45 million shoppers across 12 markets. With 20,000+ partners and over half a million transactions daily, we’re redefining the way the world shops. As we expand globally, we’re looking for adventurous, driven individuals to help us build The World’s Most Rewarding Way to Shop.
Note: This role is based in Shenzhen and will require the incumbent to be based onsite, 5 days a week.
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' DNA
Grit - 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 ShopBackers
Career 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.
ShopBack is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sexual orientation, national origin, age, disability, genetic information, veteran status, or any other protected status under applicable laws. Join our team and help us make a difference!
We are committed to protecting your data and ensuring fairness in our recruitment process. As part of this process, we use AI tools to assist with tasks such as application screening and candidate matching. These tools are designed to enhance efficiency and reduce bias, and their use complies with applicable data protection laws and our commitment to fair employment practices. Your personal data will be processed securely and transparently, and final hiring decisions are always made by our recruitment team, not by automated systems. If you have any questions about how your data is used, or wish to exercise any of your rights including the right to such processing, please contact us at dpo@shopback.com.
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
