Job Description
Company Overview
We are a Tier 1 social media company pushing the boundaries of search engine monetization across multiple apps.
Job Description
As part of our Search Ads team , you will have the rare opportunity to work on a large-scale, global search ads platform from the ground up, contributing to the development, optimization, and innovation of our ad systems. This role is for those who are passionate about solving complex technical challenges and scaling products in a rapidly evolving space.
Key Responsibilities
- Develop large-scale ad systems that handle billions of user interactions.
- Optimize relevance models and ranking strategies using advanced machine learning techniques, including semantic matching, multi-modal learning , and active learning .
- Drive innovation in Ads algorithms to enhance personalization and user engagement.
- Enhance our NLP capabilities (e.g., query classification, seq2seq models, Named Entity Recognition, and knowledge graphs) to improve query understanding and ad targeting.
- Work on CTR/CVR model optimization , focusing on feature engineering, data analysis, and predictive modeling.
- Research and develop ads pacing algorithms and traffic control strategies to maximize ad performance.
- Collaborate with product managers and cross-functional teams to define and refine product strategies and features.
Qualifications & Skills
- Bachelor's degree in Computer Science, Computer Engineering, or a related field.
- 5+ years of experience in one or more domains such as Search, Ads, Recommendation Systems, Monetization , or Shopping Products .
- Proficient in programming languages like Python, Go, or C/C++ .
- Strong experience with Machine Learning, Deep Learning, NLP , and ranking/recommendation systems .
- Proven track record of working with Tier 1 or Tier 2 tech companies is highly preferred.
Qualification
Bachelor's Degree
Key skill Required
- Python
- Algorithms
- Data Analysis
- Social Media
- Active Learning
- Ad Targeting
- Analysis
- Classification
- Computer Engineering
- Computer Science
- Deep Learning
- Development
- Innovation
- Learning
- Learning Techniques
- Machine Learning
- Monetization
- Optimization
- Passionate
- Predictive Modeling
- Proven Track Record
- Relevance
- Research
- Scaling
- Science
- Search Engine
- User Engagement
