Machine Learning Engineer Intern

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

• Primary Tasks
IAB Configurations
• Assist in testing and troubleshooting IAB configurations, with a focus on tracking pages (e.g., merchant checkout pages).
• Identify and analyze underperforming IAB configurations and review auto-generated configurations to suggest improvements.
• Refine and optimize prompts for LLMs using prompt engineering techniques to enhance conversion data extraction.
Data Preparation, Cleaning, and Labeling
• Support the cleaning and organization of raw HTML files and transaction data for analysis.
• Annotate conversion-related data for ML training and validation, including identifying promo code fields and transaction details in HTML files.
• Evaluate client-side model data by reviewing HTML files to confirm the presence of conversion data (e.g., order IDs, currencies, and amounts).


• Secondary Tasks (Based on Progress)
Data Exploration and Analysis
• Collaborate on small-scale research projects to investigate and propose solutions for key challenges.
• Analyze historical transaction and user behavior data to uncover patterns in search and purchasing trends.
Basic Model Training and Evaluation
• Train simple machine learning models for specific tasks, such as detecting promo code fields in HTML data.
• Assist in optimizing model performance by refining hyperparameters and tuning thresholds to improve precision and recall.

Essentials to Succeed

• Core Skills
• HTML & Web Technologies:
• Strong knowledge of HTML, CSS, and JavaScript.
• Experience with HTML parsing, analysis, and regex for data extraction.
• Python & Data Analysis:
• Proficiency in Python, with experience in pandas, NumPy, and BeautifulSoup.
• Skilled in cleaning, organizing, and analyzing large datasets.
• Familiarity with Jupyter Notebook and data annotation tools.
• Optional/Nice-to-Have
• Knowledge of e-commerce workflows (e.g., checkout, promo codes).
• Experience with web crawling and parsing techniques.
• Familiarity with LLMs (e.g., OpenAI) and basic ML model training.
• Hands-on experience with Amazon S3.

Internship Commitments

• Minimum 6-month contract period.
• Can commit at least 24 hours per week.
• Daily working hours: 9:30~18:30 (flexible working schedule).
• Hourly wage: NTD $200.

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.