Lead AI-Driven Optimization Scientist for DSP

Yahoo Holdings Inc. in; Reston (VA); Hybrid; USD 161,000 - 350,000; Full time

Benefits offered by this job

Flexible hybrid work

Job summary

Yahoo Holdings Inc. is seeking a Principal Research Scientist to lead DSP optimization, budgeting, pacing, and bidding algorithms in a hybrid work model. You will guide AI-assisted research-to-production loops and shape the strategic direction of the optimization stack.

You will mentor senior scientists, collaborate with engineering and product teams, and communicate findings to executives while advancing high-scale, low-latency systems.

Qualifications

• PhD in a quantitative field required, such as CS/EE/OR/Stats/Math.
• 8+ years designing and deploying large-scale optimization or ML in production.
• Strong math foundation in probability, convex/stochastic optimization, and control theory.
• Production programming experience in Python/Java/C++/SQL or Spark.
• Experience with AI pair-programming and developer automation tools.

Responsibilities

• Lead research, architecture, and production deployment of large-scale algorithms for budget pacing, bidding, and market balance.
• Architect and lead AI workflows, agent-driven validation, and automated experimentation to accelerate iteration.
• Define technical strategy and long-term vision for DSP optimization with leadership alignment.
• Apply control theory and ML to real-time marketplace dynamics with uncertainty.
• Direct AI-assisted code refactoring and automated testing suites to raise engineering standards.
• Own multi-quarter research initiatives from theory to production rollout with clear metrics.
• Collaborate with engineering/product teams to scale algorithmic designs, mentor staff, and communicate to executives.

Skills

Python

Java

C++

SQL

Spark

AI pair-programming

Agentic orchestration

Low-latency systems

Distributed data architectures

Education

PhD in CS/EE/OR/Stats/Math

Tools

Cursor

GitHub Copilot

Gemini

Claude

ChatGPT

Codex

Job description

Yahoo Holdings Inc. is seeking a Principal Research Scientist to lead DSP optimization, budgeting, pacing, and bidding algorithms in a hybrid work model. You will guide AI-assisted research-to-production loops and shape the strategic direction of the optimization stack.

You will mentor senior scientists, collaborate with engineering and product teams, and communicate findings to executives while advancing high-scale, low-latency systems.