Director of AI & ML Engineering

Yahoo Holdings Inc.; New York (NY); Hybrid; USD 161,000 - 350,000; Full time

Benefits offered by this job

Flexible hybrid work options

Healthcare

401k

Backup childcare

Education stipends

Job summary

Yahoo Holdings Inc. is recruiting for an AI/ML engineering leader to shape large-scale ML-based solutions. Based on product roadmaps, you will guide design and implementation across multiple teams, grounded in strong data strategies and scalable production serving.

You will leverage expertise in AI/ML, NLP, and related fields to align with product vision, and drive analysis and collaboration across product, research, and design leads. A flexible hybrid work model is offered.

Qualifications

• 8+ years of track record driving significant impact in the industry with increasing levels of responsibility and strategic influence.
• Expertise in AI, machine learning, deep learning, natural language processing, and applying these to strategic business problems.
• Experience in Python and Java or C++, guiding teams in scalable systems development.

Responsibilities

• Lead design and implementation of large-scale ML-based solutions across multiple teams.
• Define data strategies, evaluation frameworks, and scalable production serving strategies.
• Drive cross-team communication to align product, design, and research efforts.
• Keep abreast of AI trends (LLMs, vision models, generative AI) and guide adoption.
• Drive data analysis to identify patterns and inform strategic directions.
• Lead the team in leveraging Agentic AI effectively for the product and system.

Skills

AI/ML expertise

NLP

Python

Java/C++

Query understanding

Education

Master's degree or equivalent in CS/EE/Statistics

Job description

Yahoo Holdings Inc. is recruiting for an AI/ML engineering leader to shape large-scale ML-based solutions. Based on product roadmaps, you will guide design and implementation across multiple teams, grounded in strong data strategies and scalable production serving.

You will leverage expertise in AI/ML, NLP, and related fields to align with product vision, and drive analysis and collaboration across product, research, and design leads. A flexible hybrid work model is offered.