Director of AI/ML Engineering & Scalable Systems (Hybrid)

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

Benefits offered by this job

Flexible hybrid work options

Healthcare benefits

401(k) plan

Job summary

Yahoo is seeking an accomplished AI/ML engineering leader in Reston, VA to guide the design and implementation of large-scale ML-based solutions across teams. The role emphasizes collaboration with product and design to define data strategies and scalable production serving.

You will drive data analysis, stay ahead of AI trends including generative AI, and lead adoption with strong governance. Hybrid work options are available, with occasional office attendance as needed.

Qualifications

• 8+ years of experience driving significant impact with increasing responsibility and strategic influence.
• Master's degree in Computer Science, Electrical Engineering, Statistics, Applied Math or related field, or equivalent experience with proven leadership.
• Expertise in AI, machine learning, deep learning, NLP, and applying these technologies to strategic business problems.

Responsibilities

• Guide design and implementation of large-scale, evolving ML-based solutions across multiple teams.
• Define overarching technical requirements and data strategies to ground knowledge and production serving.
• Drive cross-team communication to align engineering, product, and research efforts.
• Stay ahead of AI trends, including LLMs and generative AI, guiding teams in adoption with data principles.
• Lead data analysis to identify patterns and inform strategic directions with product.
• Embrace Agentic AI development to maximize product and system benefits.

Skills

AI/ML expertise

Python

Java or C++

Education

Master's degree or equivalent

Tools

Python

Java or C++

Job description

Yahoo is seeking an accomplished AI/ML engineering leader in Reston, VA to guide the design and implementation of large-scale ML-based solutions across teams. The role emphasizes collaboration with product and design to define data strategies and scalable production serving.

You will drive data analysis, stay ahead of AI trends including generative AI, and lead adoption with strong governance. Hybrid work options are available, with occasional office attendance as needed.