Lead DSP Optimization Scientist - AI-Powered Bidding

Yahoo Holdings Inc.; Baltimore (MD); Hybrid; USD 210,000 - 350,000; Full time

Benefits offered by this job

Hybrid work options

Job summary

Yahoo Holdings Inc. is seeking a Principal Research Scientist to lead the next-generation architecture for budget control, pacing, and bidding algorithms.

You will steer the evolution of a high-scale optimization stack by integrating agentic AI practices into automated, AI-augmented development loops. You will mentor senior scientists, collaborate with engineering and product teams, and communicate strategy and results to executives while shaping the DSP optimization roadmap for scalable,

Qualifications

• PhD in a quantitative field.
• 8+ years designing large-scale optimization in production.
• Deep foundation in probability, convex/stochastic optimization, and control theory.
• Production programming in Python/Java/C++/SQL/Spark with low-latency/distributed data.
• Hands-on AI pair-programming and automation tools experience.

Responsibilities

• Lead the research, architectural design, and production deployment of large-scale algorithms for budget pacing, bid optimization, and marketplace supply/demand balancing.
• Architect and spearhead AI workflows, utilizing AI agents, automated experiment orchestration, and agent-driven validation to accelerate research-to-production iteration velocity.
• Provide technical strategy and long-term vision for the DSP optimization ecosystem with leadership alignment.
• Apply control theory, convex/stochastic optimization, and ML to real-time marketplace dynamics under uncertainty.
• Guide AI-assisted code refactoring, automated testing suite generation, and LLM-driven research synthesis to raise engineering standards.
• Own multi-quarter research initiatives from formulation to rollout with rigorous metrics and evaluation.
• Partner with engineering and product management to ensure scalable algorithm designs.
• Mentor senior scientists and engineers, setting standards for AI-forward research culture.
• Communicate technical strategy and results clearly to executives and cross-functional teams.

Skills

PhD required

8+ years exp

Large-scale optimization

Production programming

AI pair-programming

Safety/accuracy validation

Strong communication

Education

PhD in quantitative field

Tools

Python/Java/C++/SQL/Spark

Job description

Yahoo Holdings Inc. is seeking a Principal Research Scientist to lead the next-generation architecture for budget control, pacing, and bidding algorithms.

You will steer the evolution of a high-scale optimization stack by integrating agentic AI practices into automated, AI-augmented development loops. You will mentor senior scientists, collaborate with engineering and product teams, and communicate strategy and results to executives while shaping the DSP optimization roadmap for scalable,