AI Engineer - Monetization Platform @ Yahoo
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Job Summary
Join Yahoo's Consumer Monetization Platform team as an AI Engineer to help build and deploy our groundbreaking Agentic AI Ecosystem. You will develop intelligent AI agents that automate revenue operations, provide proactive insights, and enable real-time optimization across a multi-billion dollar revenue platform.
This role offers the opportunity to work with cutting-edge AI technologies while directly impacting monetization success across Yahoo Homepage, Sports, Finance, News, and AOL properties.
About The Team
The Consumer Monetization Platform drives billions in annual revenue through direct, indirect, and native channels. The team is building next generation, AI-powered monetization tools including systems for sales optimization, yield management, anomaly detection, and revenue intelligence.
What You'll Do
- AI Agent Development: Design and implement specialized AI agents (Sales Insight, Deal Optimization, Anomaly Detection).
- Machine Learning & Data Intelligence: Build ML models for predictive targeting, segmentation, forecasting and deploy NLP capabilities.
- Platform Integration: Integrate AI agents with Yahoo's tech stack (BigQuery, Salesforce, ad platforms).
- Collaboration & Innovation: Work with data scientists, product managers and sales teams to turn business requirements into AI solutions.
What We're Looking For
Required Qualifications: Bachelor’s in Computer Science, AI/ML or related field, 0-2 years experience, strong Python skills, familiarity with ML frameworks and LLMs, cloud platforms knowledge, and data analysis capability.
Preferred Qualifications: Experience with agent-based systems, advertising technology, real-time data processing, MLOps, A/B testing, and recommendation systems.
Technical Skills
- Programming: Python (required), SQL, JavaScript/TypeScript
- AI/ML: TensorFlow/PyTorch, Hugging Face, LangChain
- Cloud & Infrastructure: Google Cloud Platform, Docker, Kubernetes
- Data: BigQuery, Spark, pandas
- Tools: Git, CI/CD, monitoring and logging systems
Impact & Growth Opportunities
- Immediate Impact: Reduce sales prep time and enhance revenue protection.
- Career Development: Gain hands-on experience with agentic AI systems and publish research.
Why Yahoo?
Work with large data sets, innovate in digital advertising, and enjoy a flexible hybrid work environment with competitive benefits.
Compensation & Benefits
Competitive salary based on experience, comprehensive health benefits, 401(k) matching, flexible PTO, and professional development opportunities.
Next Steps
If you are ready to help transform Yahoo's monetization platform through intelligent AI agents, we want to hear from you! Apply through our career site or contact the recruiter for more details.
Key skills/competency
- AI Development
- Machine Learning
- Data Analysis
- Python
- NLP
- Cloud Platforms
- BigQuery
- Agent-based Systems
- Integration
- Collaboration
How to Get Hired at Yahoo
🎯 Tips for Getting Hired
- Customize your resume: Highlight relevant AI/ML projects and skills.
- Research Yahoo's culture: Review their mission and recent news.
- Demonstrate technical expertise: Showcase Python and ML framework experience.
- Prepare examples: Be ready to discuss project impacts during interviews.
- Follow-up: Email your resume and reach out to the hiring manager.