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Software Engineer - Machine Learning

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.


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
  • 1 -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!

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CEO of ShopBack
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Average salary estimate

$75000 / YEARLY (est.)
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$60000K
$90000K

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What You Should Know About Software Engineer - Machine Learning, ShopBack

Are you ready to take your career to the next level? Join ShopBack as a Software Engineer - Machine Learning and be part of a dynamic team that's transforming the online shopping experience! Based in Shenzhen, China, at ShopBack, we’re all about making shopping rewarding and fun. Since our inception in 2014, we’ve grown into the leading rewards and payments platform in the Asia-Pacific, empowering millions of shoppers. As a Software Engineer specializing in Machine Learning, your role will involve enhancing our products by integrating advanced machine learning techniques in areas like recommendations and fraud detection. You’ll be a key player in solving complex challenges and navigating through ambiguity like a pro. Not only will you collaborate with cross-functional teams to drive results, but you’ll also get to explore the latest technologies in the industry, ensuring your skills are top-notch. We pride ourselves on a culture driven by grit, hunger, speed, and impact, meaning you’ll have plenty of opportunities for growth and development. If you have a solid background in machine learning, paired with a passion for problem-solving, we’d love to hear from you. Join us on this exciting journey to make shopping even more rewarding for everyone!

Frequently Asked Questions (FAQs) for Software Engineer - Machine Learning Role at ShopBack
What are the key responsibilities of a Software Engineer - Machine Learning at ShopBack?

As a Software Engineer - Machine Learning at ShopBack, you will be responsible for leveraging machine learning to enhance our products, improving user and merchant experiences. Your key tasks will include developing and deploying ML models, contributing to product specifications, and collaborating closely with stakeholders to ensure the success of your solutions. You will also navigate ambiguous problems and lead experiments to iterate and refine features swiftly.

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What qualifications do I need to apply for the Software Engineer - Machine Learning position at ShopBack?

To apply for the Software Engineer - Machine Learning position at ShopBack, you should have a degree in a quantitative field such as Computer Science, Mathematics, or Operations Research. Additionally, 1-3 years of industrial experience in machine learning, along with strong skills in Python and ML libraries like PyTorch and TensorFlow, will set you up for success in this role.

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What skills are essential for succeeding as a Software Engineer - Machine Learning at ShopBack?

Essential skills for a Software Engineer - Machine Learning at ShopBack include a solid understanding of machine learning methodologies, great programming proficiency in Python, and experience with statistical modeling. Additionally, familiarity with MLOps, data visualization, and a motivated approach to problem-solving will significantly enhance your contributions at ShopBack.

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Is there room for career advancement for Software Engineers - Machine Learning at ShopBack?

Absolutely! At ShopBack, we focus on the growth of our employees. As a Software Engineer - Machine Learning, you will have a clear career progression path that enables you to take on greater challenges and expand your skill set. We encourage continuous learning and provide opportunities for professional development.

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What work culture can I expect at ShopBack as a Software Engineer - Machine Learning?

At ShopBack, we foster a culture of openness, collaboration, and continuous feedback. You'll be part of a team that values grit, hunger, speed, and impactful outcomes. Our environment encourages innovation, allowing you to experiment and think outside the box as you contribute to our mission of revolutionizing shopping experiences.

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Common Interview Questions for Software Engineer - Machine Learning
Can you explain a machine learning project you have worked on?

When addressing this question, highlight a specific machine learning project where you made a significant contribution. Explain the problem, your approach, the technologies you used, the challenges you faced, and the outcomes. This demonstrates your hands-on experience and problem-solving capabilities relevant to the Software Engineer - Machine Learning position at ShopBack.

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How do you handle ambiguous problem definitions in machine learning?

Discuss your approach to problem-solving when faced with ambiguity. You might outline how you gather requirements, consult stakeholders, iterate on possible solutions, and use experimentation to refine your understanding, which reflects the skills needed for the Software Engineer - Machine Learning role at ShopBack.

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What tools and methodologies do you use for MLOps?

Explain the tools and practices you implement for managing ML workflows, such as version control systems, CI/CD practices, and monitoring solutions. Mention how these practices align with the responsibilities of a Software Engineer - Machine Learning at ShopBack.

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What metrics do you consider important when evaluating the performance of a machine learning model?

Identify key metrics like accuracy, precision, recall, or AUC-ROC, and explain why they matter in the context of business outcomes. Tailor your response to reflect how this knowledge is applicable to the role at ShopBack, emphasizing your metrics-driven mindset.

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How do you ensure your machine learning models are scalable?

Discuss methodologies for ensuring scalability, such as efficient data pipelines, modularity in code, and distributed computing techniques. Relate this to the expectations as a Software Engineer - Machine Learning, where scalability is crucial for impacting millions of users at ShopBack.

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Can you describe your experience with deep learning frameworks?

Share your experiences with frameworks like TensorFlow or PyTorch. Describe specific projects or tasks you undertook using these frameworks, detailing how this experience fits the expectations outlined for the Software Engineer - Machine Learning position at ShopBack.

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How do you approach data collection and preprocessing?

Outline your methods for collecting, cleaning, and preparing data for use in machine learning models, including feature engineering techniques. This response connects directly to the essential skills outlined in the Software Engineer - Machine Learning job description at ShopBack.

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What steps do you take to debug a machine learning model?

Explain your debugging process, including monitoring model performance, identifying data issues, and iterating on feature selection. Show how this process reflects the rigorous scientific approach that you would bring to the Software Engineer - Machine Learning role at ShopBack.

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How do you keep updated with the latest trends in machine learning?

Discuss your strategies for staying current in the field, such as attending conferences, following leading researchers on social media, or engaging in online courses. This shows your commitment to growth, a core value that ShopBack upholds for its team members.

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What motivates you in your work as a Software Engineer?

Reflect on your passion for technology and your desire to solve impactful problems. Relate this motivation back to the mission of ShopBack, emphasizing how you align with our drive to create the world’s most rewarding shopping experience.

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We live to win over shoppers by constantly upping our game - be it rewards of meaningful experiences - so they can achieve a personal victory every time they use ShopBack.

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DATE POSTED
April 18, 2025

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