Expert – remote / programmatic bidding / ml / adtech

Regio:
 
Functieomschrijving

We are looking for an Expert to join a world leading technology company at their technology centre in Amsterdam. They can also consider offering remote working within Europe.


You will be joining a global team shaping the next generation of computational advertising. We are developing a cutting-edge ad exchange engine & seek an expert to design innovative bidding frameworks & influence the technical roadmap for large-scale advertising systems.


As an Expert your responsibilities will include:


  • Bidding Framework Leadership: Design & evolve real-time bidding strategies & guide the long-term vision for smart bidding & auction mechanisms.
  • Innovation & Research: Investigate advanced auction models, reinforcement learning, & game theory to create next-level bidding solutions. Publish findings & share insights at top conferences.
  • Campaign Optimization: Enhance budget pacing, bid strategies, & ecosystem stability while tackling challenges like cold starts, anti-fraud measures, & attribution accuracy.
  • Cross-Team Collaboration: Partner with teams in areas such as recommendations, pricing, & fraud detection to drive integrated solutions.


As an Expert your skills will include:


  • Master’s or PhD in Computer Science, Statistics, Machine Learning, or related field.
  • Extensive experience in computational advertising, smart bidding, or auction design.
  • Demonstrated success implementing innovative bidding systems & presenting research in leading journals or conferences.
  • Strong ability to identify emerging technologies & translate them into production systems.
  • Excellent communication skills & a collaborative mindset for working with global technical teams.



Feel free to also refer someone you may know who could be good for the role. If they are successfully placed, we offer a great referral scheme!


Key words – Real-time Bidding / Bidding Algorithms / Bidding Strategy / AdTech / Machine Learning / Deep Learning / Reinforcement Learning / Game Theory / Smart Bidding / Programmatic Advertising


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