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About the Role:
- Develop and deploy machine learning algorithms that improve advertising performance and maximize ROI.
- Tackle complex optimization challenges across a platform processing millions of requests per second.
- Contribute throughout the lifecycle from research and prototyping to production implementation.
What You'll Do:
- Design, prototype, and test new algorithmic approaches using historical data and experimental evidence.
- Apply statistical and optimization methods to evaluate performance and guide refinement.
- Collaborate with engineering and data teams to integrate algorithms into scalable systems.
Who You Are:
- A quantitative scientist with a Master’s or PhD in Computer Science, Statistics, Operations Research, or a related field.
- Strong in machine learning, statistics, optimization, and production-level programming.
- Curious, autonomous, and ready to turn ambiguous problems into practical, high-impact solutions.
Partner Company
The company operates a large-scale advertising platform processing millions of requests per second, using machine learning to drive performance and ROI. It fosters a remote-first, collaborative culture focused on innovation, well-being, and continuous learning.