Lead Research Scientist: Real-Time Ad Optimization (Hybrid)

Yahoo DSP; United States; Hybrid; USD 161,000 - 350,000; Full time

Benefits offered by this job

Hybrid work options

Healthcare

401k

Childcare backup

Education stipends

Bonuses

Job summary

Yahoo DSP Research team develops mathematical models and algorithms for real-time programmatic ad spend optimization. The Principal Research Scientist will lead design and deployment of large-scale budget pacing, bid optimization, and marketplace balancing algorithms.

Requirements include a Ph.D. in a quantitative field, 8+ years in optimization or ML production, and proficiency with Python, Java, C++, SQL, Spark and AI tools like GitHub Copilot and Cursor.

Qualifications

• PhD required in a quantitative field.
• 8+ years of experience in large-scale optimization or ML production.
• Proficient in Python, Java, C++, SQL and Spark.

Responsibilities

• Lead design and deployment of budget pacing, bid optimization, and marketplace balancing.
• Architect AI workflows and apply control theory to marketplace dynamics.
• Mentor senior staff and steer research from conception to production.

Skills

Leadership

Mentoring

Communication

Research

Team collaboration

Education

Ph.D. in quantitative field

8+ years experience in optimization/ML production

Tools

Python

Java

C++

SQL

Spark

GitHub Copilot

Cursor

Job description

Yahoo DSP Research team develops mathematical models and algorithms for real-time programmatic ad spend optimization. The Principal Research Scientist will lead design and deployment of large-scale budget pacing, bid optimization, and marketplace balancing algorithms.

Requirements include a Ph.D. in a quantitative field, 8+ years in optimization or ML production, and proficiency with Python, Java, C++, SQL, Spark and AI tools like GitHub Copilot and Cursor.