百度
Ad Strategy Algorithm Engineer（J93906）
Ad Strategy Algorithm Engineer（J93906）
发布于 2 天前普通员工/个人贡献者
新加坡
高级经验
全职员工
仅现场办公
学历未注明
软件工程
Algorithms
Cvr
Data Structures
Machine Learning
Rtb
Ctr
Strategy Algorithm
AI 估算 · 35k–55k
Senior algorithm engineer in advertising, competitive market in Singapore.
职位详情
关于这个职位
This role involves designing strategies and optimizing algorithms for Baidu's advertising system in Singapore. You will work on ad bidding mechanisms, CTR/CVR estimation, and advanced technologies in large-scale advertising systems, requiring strong machine learning and programming skills.
最低要求
Experience with large-scale advertising system strategy algorithms; background in machine learning and deep learning; proficient in Python with solid data structures and algorithms; strong team spirit, communication, and learning abilities; exceptional problem analysis and solving skills; outstanding logical thinking skills capable of discovering valuable patterns from large datasets.
工作职责
Responsible for designing strategies and optimizing algorithms for the advertising system; design and implement ad bidding mechanisms; estimate CTR and CVR for advertising models; research advanced technologies for the advertising system.
AI 洞察
优缺点分析
优点
- Work on core revenue-generating systems with high business impact.
- Exposure to large-scale data and cutting-edge ML/DL techniques.
- Competitive compensation and opportunities at a leading tech company.
- High pressure to deliver performance improvements and meet business metrics.
- Complex algorithm design requiring deep understanding of both ML and advertising business.
- This role is ideal for experienced algorithm engineers passionate about advertising technology and machine learning, who enjoy solving large-scale optimization problems.
缺点 / 挑战
暂无明显挑战项
角色解读
- Progress to senior algorithm engineer or tech lead, leading ad strategy projects.
- Specialize in real-time bidding, recommendation systems, or AI research in advertising.
- Transition into management roles like engineering manager or product head in ad tech.
- Design and optimize bidding mechanisms and ranking strategies for the ad system.
- Build and improve CTR/CVR prediction models using machine learning and deep learning.
- Analyze large-scale user and ad data to discover patterns and improve ad performance.
- Strong background in machine learning and deep learning, with experience in large-scale ad systems.
- Proficiency in Python and solid understanding of data structures and algorithms.
- Excellent problem-solving and logical thinking skills to handle complex optimization problems.
申请策略
- Prepare to discuss trade-offs in ad system design (e.g., revenue vs. user experience).
- Research Baidu's advertising business and recent publications in ad tech.
- Emphasize experience with large-scale advertising systems, especially RTB, CTR/CVR modeling.
- Showcase projects involving bidding strategies, auction mechanisms, or ad ranking.
- Highlight proficiency in Python, machine learning frameworks (e.g., TensorFlow, PyTorch).
- Review advanced ML techniques like deep learning for CTR prediction, multi-task learning.
- Understand online advertising ecosystem: DSP, SSP, Ad Exchange, RTB protocol.
面试指南
- For design questions: break down the problem, propose a solution with ML architecture, discuss trade-offs and evaluation metrics.
- For behavioral questions: use STAR method (Situation, Task, Action, Result) to highlight impact and collaboration.
- How would you design a CTR prediction model for a new ad format?
- Explain the mechanics of a second-price auction and its advantages.
- How do you handle data imbalance in CVR prediction?
- Describe a time you optimized an ad system algorithm and the impact.
- What advanced techniques can improve bidding strategies in RTB?
- Review key papers on ad prediction (e.g., Google's Wide & Deep, YouTube DNN).
职位点评
62
综合评分
Senior ad algorithm role at Baidu Singapore with strong technical exposure and competitive pay, but limited WLB.
更适合这类人
This role is best for candidates motivated by technical growth and high compensation, who are willing to work on-site in Singapore with a demanding but rewarding environment.
表现最好
成长发展
相对薄弱
工作生活
薪资福利75
成长发展85
工作生活40
使命价值50
薪资福利
75中等
Competitive salary and benefits at a top-tier company, but specific compensation details are not disclosed.
薪资信号未披露（AI估算：35K-55K/月）
成长发展
85较高
Strong growth potential through working on core ad technology and exposure to advanced ML/DL; however, no explicit promotion path mentioned.
技术前沿前沿/新兴技术
技术栈Machine Learning、Deep Learning、CTR、CVR、RTB
业务类型profit_center
工作生活
40较低
On-site work in Singapore; no information about work-life balance or flexibility.
工作模式仅现场办公
办公地点未明确
加班情况未提及（无法判断）
使命价值
50较低
Ad tech is a mature industry; the role drives revenue but has limited social impact.
行业发展稳定成熟行业
社会影响中性/一般
创新程度积极采用新技术
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