Machine Learning Engineer Intern

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.