
Advertising Innovation Strategist
2 days ago
About the Role
You will play a pivotal part in shaping the future of large-scale recommendation and advertising systems. Joining a world-class team of scientists and engineers, you will tackle complex problems in computational advertising.
This role presents an opportunity to drive innovation that enhances user engagement, advertiser ROI, and long-term ecosystem growth across billions of impressions.
Responsibilities- Evaluate and enhance the effectiveness of large-scale advertising recommendation model technology.
- Deliver impactful results from core ad recommendation models.
- Drive strategic roadmap: Define and guide the evolution of ads recommendation pipeline.
- Solve global-scale challenges: Partner with international research labs, product, and engineering teams to address technical bottlenecks in large-scale recommendation systems.
- Promote cross-team collaboration and knowledge sharing.
- Conduct and oversee experiments: Lead the design of A/B tests and statistical evaluations to measure algorithm effectiveness and business impact.
- Stay at the forefront of recommender system research and translate academic insights into production-ready innovations.
- PhD (preferred) or Master's in Computer Science, Information Systems, Statistics, Mathematics, or a related quantitative field.
- 6+ years of experience delivering large-scale machine learning solutions, with a proven track record of building and deploying recommender systems in advertising or large-scale platforms.
- Recognized expertise in recommender systems: collaborative filtering, matrix factorization, user-ad matching, deep learning, reinforcement learning, or bandit algorithms.
- Strong understanding of ad-relevant recommendation challenges: personalization under constraints, auction-aware recsys, multi-objective optimization.
- Hands-on experience with large-scale ML and recommender frameworks.
- Demonstrated ability to think strategically about recommendation system architectures and their impact on business and ecosystem growth.
- Proven collaboration in cross-functional and global teams, with the ability to influence and align stakeholders across research, engineering, and product domains.
- Excellent communication skills for presenting technical vision and complex solutions to both expert and non-expert audiences.
- (Preferred) Contributions to the research community or recognized innovation in large-scale recommendation products.
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