Yahoo
1 day ago

AI Engineer - Monetization Platform

United States of America

Job Description

Yahoo serves as a trusted guide for hundreds of millions of people globally, helping them achieve their goals online through our portfolio of iconic products. For advertisers, Yahoo Advertising offers omnichannel solutions and powerful data to engage with our brands and deliver results.

Job Summary

Join Yahoo's Consumer Monetization Platform team as an AI Engineer to help build and deploy our groundbreaking Agentic AI Ecosystem. You'll be instrumental in developing intelligent AI agents that automate revenue operations, provide proactive insights, and enable real-time optimization across our multi-billion dollar annual revenue platform. This role offers the opportunity to work with cutting-edge AI technologies while directly impacting Yahoo's monetization success across Yahoo Homepage, Sports, Finance, News, and AOL properties.


About the Team

The Consumer Monetization Platform drives billions in annual revenue across direct, indirect, and native channels. Our team is building the next generation of AI-powered monetization tools, including specialized AI agents for sales optimization, yield management, anomaly detection, and revenue intelligence. You'll be part of a forward-thinking organization that's transforming how digital advertising operates at a massive scale.


What You'll Do


AI Agent Development

  • Design and implement specialized AI agents within our multi-agent ecosystem, including Sales Insight Agent, Deal Optimization Agent, and Anomaly Detection Agent

  • Build intelligent automation systems that reduce manual sales prep time per pitch

  • Develop real-time anomaly detection systems that protect revenue by identifying issues before they impact performance

  • Create AI-powered yield optimization agents that continuously adjust pricing and delivery strategies


Machine Learning & Data Intelligence

  • Build ML models for predictive targeting, audience segmentation, and revenue forecasting using Yahoo's petabyte-scale data infrastructure

  • Implement NLP and conversational AI capabilities for knowledge retrieval and sales material generation

  • Develop recommendation systems for cross-sell/upsell opportunities and deal optimization

  • Create AI-powered analytics and visualization systems that convert complex data into actionable insights


Platform Integration

  • Integrate AI agents with Yahoo's existing tech stack including BigQuery, Salesforce CRM, and ad serving platforms

  • Work with first-party data from Yahoo's ecosystem (Mail, Search, Sports, Finance) to power AI-driven insights

  • Collaborate with the broader engineering team to ensure seamless deployment and scalability of AI systems

  • Implement monitoring and evaluation systems to measure AI agent performance and business impact


Collaboration & Innovation

  • Partner with data scientists, product managers, and sales teams to understand business requirements and translate them into AI solutions

  • Participate in the full AI development lifecycle from research and prototyping to production deployment

  • Contribute to the Agent Space framework that enables collaborative AI agent interactions

  • Stay current with latest AI/ML research and identify opportunities to enhance monetization capabilities


What We're Looking For


Required Qualifications

  • Bachelor's degree in Computer Science, AI/ML, or related technical field

  • 0-2 years of professional experience in AI/ML engineering, software development, or related roles

  • Recent graduates with relevant internship experience or substantial AI/ML project work are encouraged to apply

  • Strong programming skills in Python, with experience in ML frameworks (TensorFlow, PyTorch, Keras, or similar)

  • Experience with large language models (LLMs), natural language processing, and conversational AI through coursework, projects, or internships

  • Familiarity with cloud platforms, preferably Google Cloud Platform (BigQuery, Vertex AI, Cloud Functions)

  • Understanding of machine learning fundamentals: supervised/unsupervised learning, model evaluation, and deployment

  • Experience with data manipulation and analysis using pandas, numpy, or similar libraries


Preferred Qualifications

  • Experience with agent-based systems, multi-agent architectures, or autonomous AI systems

  • Knowledge of advertising technology, programmatic advertising, or digital marketing

  • Experience with real-time data processing and streaming systems (Kafka, Spark Streaming)

  • Familiarity with MLOps practices and tools for model deployment and monitoring

  • Experience with A/B testing and experimentation frameworks

  • Background in recommendation systems, predictive analytics, or revenue optimization

  • Understanding of SQL and experience working with large-scale databases


Technical Skills

  • Programming: Python (required), SQL, JavaScript/TypeScript (nice to have)

  • AI/ML: TensorFlow/PyTorch, Hugging Face, LangChain, vector databases

  • Cloud & Infrastructure: Google Cloud Platform, Docker, Kubernetes

  • Data: BigQuery, Spark, pandas, data pipeline development

  • Tools: Git, CI/CD, monitoring and logging systems


Impact & Growth Opportunities


Immediate Impact

  • Contribute to reducing sales prep time through AI automation

  • Help build systems that provide real-time revenue protection and optimization

  • Work on AI agents that will support Yahoo's goal of revenue growth


Career Development

  • Gain experience with cutting-edge agentic AI systems at unprecedented scale

  • Work with Yahoo's massive first-party data assets (double-digit petabyte scale)

  • Opportunity to publish research and speak at industry conferences

  • Clear path for advancement within Yahoo's growing AI/ML organization

  • Mentorship from senior AI engineers and data scientists


Why Yahoo?

  • Scale: Work with some of the world's largest data sets and highest-traffic platforms

  • Innovation: Be part of the first-mover advantage in agentic monetization AI

  • Impact: Your work directly influences billions of user interactions and significant revenue

  • Flexibility: Hybrid work environment with high degree of location flexibility

  • Growth: Join a company investing heavily in AI transformation and revenue innovation


Compensation & Benefits

  • Competitive salary commensurate with experience (IC2 level)

  • Comprehensive health, dental, and vision insurance

  • 401(k) with company matching

  • Flexible PTO and parental leave

  • Professional development budget for conferences and training

  • Access to cutting-edge AI/ML tools and resources


Next Steps

Ready to help transform Yahoo's monetization platform through intelligent AI agents? We want to hear from you! This role offers the unique opportunity to work on production AI systems that directly impact revenue while building the future of digital advertising technology.

Yahoo is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category.

Yahoo has a high degree of flexibility around employee location and hybrid working. Most roles don't require specific regular patterns of in-person office attendance. When on-site work sessions or team-building events occur, you'll be given advance notice to make arrangements.

The material job duties and responsibilities of this role include those listed above as well as adhering to Yahoo policies; exercising sound judgment; working effectively, safely and inclusively with others; exhibiting trustworthiness and meeting expectations; and safeguarding business operations and brand integrity.

At Yahoo, we offer flexible hybrid work options that our employees love! While most roles don’t require regular office attendance, you may occasionally be asked to attend in-person events or team sessions. You’ll always get notice to make arrangements. Your recruiter will let you know if a specific job requires regular attendance at a Yahoo office or facility. If you have any questions about how this applies to the role, just ask the recruiter!

Yahoo is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. Yahoo will consider for employment qualified applicants with criminal histories in a manner consistent with applicable law. Yahoo is dedicated to providing an accessible environment for all candidates during the application process and for employees during their employment. If you need accessibility assistance and/or a reasonable accommodation due to a disability, please submit a request via the Accommodation Request Form (www.yahooinc.com/careers/contact-us.html) or call +1.866.772.3182. Requests and calls received for non-disability related issues, such as following up on an application, will not receive a response.

We believe that a diverse and inclusive workplace strengthens Yahoo and deepens our relationships. When you support everyone to be their best selves, they spark discovery, innovation and creativity. Among other efforts, our 11 employee resource groups (ERGs) enhance a culture of belonging with programs, events and fellowship that help educate, support and create a workplace where all feel welcome.

The compensation for this position ranges from $88,500.00 - $184,375.00/yr and will vary depending on factors such as your location, skills and experience.The compensation package may also include incentive compensation opportunities in the form of discretionary annual bonus or commissions. Our comprehensive benefits include healthcare, a great 401k, backup childcare, education stipends and much (much) more.

Currently work for Yahoo? Please apply on our internal career site.

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