Director, AI-Driven Search & Query Guidance

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

Job summary

Yahoo is seeking a Director of Engineering for Search Query Understanding and Guidance (Finance) in Omaha. You will lead large-scale ML-driven guidance and query understanding initiatives, partnering with product, design, and research to define architecture and scale.

The role requires 8+ years of experience, a master’s in a technical field, and deep expertise in AI/ML, NLP, and scalable systems. We offer a flexible hybrid model, strong compensation, and a commitment to innovation.

Qualifications

• 8+ years of track record driving significant impact with increasing levels of responsibility.
• Master's degree in Computer Science, Electrical Engineering, Statistics, Applied Math or related field, or equivalent work experience with proven leadership.
• Expertise in AI, machine learning, deep learning, natural language processing, applying these technologies to strategic problems.
• Proficiency in Python and Java or C++, guiding teams in scalable, robust systems.

Responsibilities

• Guide design and implementation of large-scale ML-based solutions across multiple teams.
• Define data strategies and evaluation frameworks for scalable production serving.
• Lead cross-functional technical discussions with product, design, and research teams.
• Stay current with AI trends including LLMs and vision models and guide adoption.
• Drive data analysis to identify patterns and inform strategic directions with product.
• Champion Agentic AI adoption to maximize product and system benefits.

Skills

AI/ML

Python

Java or C++

NLP

Leadership

Education

Master's degree or equivalent

Job description

Yahoo is seeking a Director of Engineering for Search Query Understanding and Guidance (Finance) in Omaha. You will lead large-scale ML-driven guidance and query understanding initiatives, partnering with product, design, and research to define architecture and scale.

The role requires 8+ years of experience, a master’s in a technical field, and deep expertise in AI/ML, NLP, and scalable systems. We offer a flexible hybrid model, strong compensation, and a commitment to innovation.