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Principal Research Scientist

Location: Remote
Compensation: To Be Discussed
Reviewed: Tue, Aug 25, 2026
This job expires in: 24 days

Job Summary

As a full-time Principal Research Scientist, the successful candidate will lead the architectural design and deployment of advanced algorithms for budget control and bidding optimization, while integrating AI-driven practices to enhance research-to-production workflows.

Key responsibilities
  • Lead the development and implementation of large-scale algorithms for budget pacing and bid optimization
  • Architect agentic AI workflows to accelerate research-to-production iteration and enhance team engineering standards
  • Provide technical strategy and long-term vision for the DSP optimization ecosystem in collaboration with business and engineering leadership
Required qualifications
  • Ph.D. in Computer Science, Electrical Engineering, Operations Research, Statistics, Mathematics, or a related quantitative field
  • 8+ years of experience in designing and deploying large-scale optimization or machine learning models in production
  • Strong background in probability, convex/stochastic optimization, and control theory
  • Proficiency in programming languages such as Python, Java, C++, SQL, or Spark
  • Hands-on experience with AI pair-programming and developer automation tools

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