Programmatic Bidding Science Expert

Our client has built a smart marketing platform built for a leading global device ecosystem. They provide marketing and traffic monetisation services to help advertisers and publishers worldwide achieve business growth and improve brand value. Their platform leverages a comprehensive all-scenario ecosystem, the marketing capabilities of their own suite of popular apps, massive premium third-party traffic, and powerful ad technologies. 

Key Responsibilities

• Technical Leadership & Framework Design: Co-lead the design and evolution of our bidding strategy framework for real-time bidding ads. You’ll collaborate with technical leads to define the long-term bidding strategy and ecosystem vision.

• Innovation & Research Impact: Conduct research on next-generation auction mechanisms, game-theoretic approaches, and reinforcement learning for smart bidding. You’ll identify and drive forward-looking projects that position our platform at the forefront of computational advertising.

• Optimisation of Campaign & Ecosystem Performance: Develop advanced strategies for smart bidding, budget allocation, and campaign performance optimisation. You’ll solve complex challenges related to budget fulfilment, cold start deployment, and campaign stability.

• Industry Thought Leadership: Stay ahead of the curve on bidding mechanisms and algorithms, integrating state-of-the-art research into our production systems. You’ll also have the opportunity to publish and present research findings in top-tier journals and mentor junior engineers and data scientists.

   

Essential Requirements

• Master’s or PhD in Computer Science, Statistics, Machine Learning, or a related field.

• Domain Expertise: Rich experience in computational advertising, particularly in bidding, reinforcement learning, auction mechanism design, or game theory.

• Innovation Track Record: Proven ability to propose, design, and deliver next-generation bidding frameworks with successful application experience.

• Research Leadership: A strong academic background, with publications in top conferences/journals (e.g., KDD, NeurIPS, SIGIR, WWW, ICML) preferred.

• Technical Foresight: The ability to rapidly understand and integrate emerging technologies into our bidding ecosystem.

• Collaboration & Influence: Skilled at working with technical leads and global teams, aligning strategy and execution while driving innovation.