Primary Tasks:
- 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.
- 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.
Secondary Tasks (Based on Progress):
- 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.
- 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.
- HTML & Web Technologies: Strong knowledge of HTML, CSS, and JavaScript. Experience with HTML parsing, analysis, and regex for data extraction.
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.
- 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.