百度
Ad Strategy Algorithm Engineer（J96554）
Ad Strategy Algorithm Engineer（J96554）
发布于 大约 7 小时前普通员工/个人贡献者
新加坡
高级经验
全职员工
仅现场办公
硕士
软件工程
Machine Learning
Data Structures
Algorithms
Rtb
Ctr Estimation
Cvr Estimation
Ad Systems
Auction Mechanism
AI 估算 · 40k–70k
Senior ad algorithm role in Singapore, high technical difficulty, scarce talent, salary benchmarks against international levels.
职位详情
关于这个职位
This role focuses on designing and optimizing algorithms for Baidu's advertising system in Singapore. You will work on real-time bidding, CTR/CVR estimation, and advanced auction mechanisms. It requires strong machine learning and deep learning expertise, plus experience with large-scale ad systems.
最低要求
Experience with large-scale ad system strategy algorithms
Machine learning and deep learning background
Master's degree or above
Proficient in Python and solid in data structures and algorithms
Strong teamwork, communication, and learning skills
Excellent problem analysis and solving skills
Strong logical thinking and ability to discover valuable patterns from large datasets
工作职责
Design strategy and optimization algorithms for advertising systems
Design and implement advertising auction mechanisms
Estimate click-through rate (CTR) and conversion rate (CVR) for ad models
Research advanced technologies for advertising systems
优先资格
Experience with RTB (real-time bidding) is preferred
AI 洞察
优缺点分析
优点
- Work on cutting-edge ad technology with direct impact on revenue.
- Be part of a global tech giant with strong R&D resources.
- Competitive compensation and exposure to international market.
- Opportunity to solve challenging problems with massive data.
- High pressure to deliver measurable improvements in ad performance metrics.
- Requires deep expertise and continuous learning in fast-evolving ML/DL fields.
- Cross-cultural communication and adaptation to Singapore work environment.
- Ideal for experienced ML engineers passionate about advertising systems and ready for a high-impact role in a global hub.
缺点 / 挑战
暂无明显挑战项
角色解读
- Progress to lead scientist or architect for ad systems, shaping core algorithm direction.
- Transition to broader AI roles in recommendation, search, or natural language processing.
- Opportunity to move into management as a team lead or engineering manager.
- Design and optimize bidding strategies and auction mechanisms for online advertising.
- Develop machine learning models to estimate click-through and conversion rates.
- Analyze large-scale ad data to identify patterns and improve system performance.
- Strong background in machine learning and deep learning, with hands-on experience in CTR/CVR modeling.
- Proficiency in Python and solid understanding of data structures and algorithms.
- Experience with large-scale ad systems and real-time bidding (RTB) is highly valued.
申请策略
- Tailor your resume to demonstrate direct experience with ad systems and algorithms.
- Prepare to discuss how you approach problems like cold start or budget pacing.
- Emphasize past projects on large-scale ad systems, especially RTB or CTR/CVR optimization.
- Showcase quantitative results (e.g., improved click-through rate by X%).
- List relevant ML/DL frameworks (TensorFlow, PyTorch) and programming languages.
- Highlight any publications or patents in ad algorithms or related fields.
- Deepen knowledge of auction theory and bidding strategies.
- Practice with large-scale data processing tools like Spark or Flink.
面试指南
- Use the STAR method: Situation, Task, Action, Result.
- For algorithm design, start with problem formulation, then propose solutions, and discuss trade-offs.
- When discussing models, explain architecture, loss function, and evaluation metrics.
- How would you design an auction mechanism to maximize revenue while ensuring advertiser satisfaction?
- Describe a CTR model you built and how you improved its accuracy.
- How do you handle data sparsity and cold start in ad recommendation?
- Explain the trade-offs between exploration and exploitation in bidding.
- Given a large dataset, how would you identify patterns useful for ad targeting?
匹配度报告
78
综合匹配度
高薪、顶尖技术、海外机会，但工作强度大，社会意义一般。
适合人群
最适合追求技术成长和职业发展的求职者，愿意在高压环境下挑战前沿算法。
最强匹配
成长发展匹配
最弱匹配
使命价值匹配
薪资福利85
成长发展95
工作生活70
使命价值60
薪资福利匹配
85较高
This role offers a competitive overseas salary and benefits typical of a tech giant, though specific numbers are not disclosed. Location in Singapore adds lifestyle perks.
薪资信号未披露（AI估算：40K-70K/月）
成长发展匹配
95较高
The role sits at the forefront of ad tech with ML/DL, offering strong skill growth and career advancement. Baidu's global brand adds prestige.
技术前沿前沿/新兴技术
技术栈Machine Learning、Deep Learning、Python、CTR、CVR、RTB、Auction
成长机会Research advanced technologies
业务类型profit_center
工作生活匹配
70中等
Based in Singapore, a global hub with good work-life balance, but the JD does not specify remote or flexible hours. On-site work likely.
工作模式仅现场办公
办公地点郊区/偏远地区
加班情况未提及（无法判断）
使命价值匹配
60中等
Working on ad systems can be seen as supporting business revenue, with moderate social impact. The role is technically innovative but not mission-driven.
行业发展高速增长赛道
社会影响中性/一般
创新程度积极采用新技术
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