Mathematics, Statistics & Information Sciences

Employment type: Full-time

Department: AI Advertising Technology Department

Report to: AI Laboratory Director

About us

Job Description

As an AI advertising algorithm engineer, you will be responsible for designing and implementing core advertising algorithms, including but not limited to CTR/CVR estimation, bidding strategy, intelligent bidding and audience targeting, etc. You need to deeply understand the advertising business scenario, continuously optimize the algorithm performance based on machine learning and deep learning technologies, and closely cooperate with the engineering team to deploy the algorithm to the production environment.

Core responsibilities

1. Advertising core algorithm research and development

- Research and develop innovative CTR/CVR prediction models, including feature engineering, model architecture design, and training optimization

- Develop a deep learning-based ad ranking algorithm, optimize eCPM and other core metrics

- Research and implement intelligent bidding strategies (such as bid shading, ROI optimization, etc.)

2. User understanding and targeting

- Build user portrait system, based on representation learning to develop user embedding representation

- Develop similar audience expansion algorithm to improve audience targeting accuracy

- Optimize real-time population segmentation and matching efficiency

3. Algorithm engineering

- Deploy the algorithm model to the online system to ensure stability and performance in high-concurrency scenarios

- Develop feature platform, achieve high-efficiency feature production and reuse

- Build A/B testing framework, scientifically evaluate algorithm performance

4. Frontier technology exploration

- Follow up on the latest advances in the advertising algorithm field (such as multi-task learning, causal inference, etc.)

- Explore the application of large language models in ad creative generation and intelligent placement

- Research privacy protection technology in the advertising scenario

Job Requirements

Essential conditions:

- Computer Science, Mathematics, Statistics, etc. related professional Bachelor's/Master's degree or above

- More than 3 years of experience in advertising algorithms, recommendation systems or search algorithms

- Solid machine learning foundation, familiar with common algorithm principles and implementation

- Proficient in Python, familiar with TensorFlow/PyTorch frameworks,

- In-depth understanding of advertising business, familiar with DSP/SSP system architecture

Prioritization:

- Published related papers on advertising algorithms at top conferences

- Familiar with reinforcement learning, multi-task learning, etc., frontier technologies,

- Have experience in feature platform, model serviceization related engineering

We provide:

- Competitive salary

- Flexible work hours and remote office options

- The opportunity to work with industry leading technical teams

- Continuous career development and technical growth space