Yahoo Mail is the ultimate consumer inbox with hundreds of millions of users. It's the best way to access your email and stay organized from a computer, phone or tablet. With its beautiful design and lightning fast speed, Yahoo Mail makes reading, organizing, and sending emails easier than ever.
A little about Us
As a global email provider, Yahoo Mail is the ultimate Consumer Inbox with over 220 million users. It is the best way to access your email and stay organized from a computer, phone or tablet. We create technology that changes the internet while handling billions of inbound connections per day to manage trillions of messages requiring petabytes of efficient storage.
Yahoo Mail's vision: Be the best consumer email platform to help users run the business of their life.
The Yahoo Mail engineering team develops solutions powering our mail brands, including a next-generation infrastructure that we are 100% moving to a native public cloud architecture.
The Mail Intelligence AI/ML platform is responsible for building intelligent, smart capabilities at scale to discover interests, reveal habits, and deeply personalize user journeys for Yahoo Mail and across the entire Yahoo's ecosystem.
We are looking for innovative, entrepreneurial, and passionate engineers. We are engineers who strive to deliver to our users only the absolute best and are willing to meticulously refine the details to achieve this goal. While Engineering is a core puzzle piece, we believe that your passion and owner mindset is as crucial as the high engineering standards, code quality and world-class architectural skills that we expect from our engineering teams.
We process billions of mail messages using cutting edge algorithms in areas including but are not limited to: Natural language processing, GenAI, Large Language Models, Machine Learning techniques, big data processing in order of petabytes to: Extract information, build mail content and user knowledge, and interconnect different sources to identify, highlight and amplify what matters.
Our work spans many technical challenges highly rewarding and fulfilling to high-caliber engineers hungry for impactful problem statements.
You will build tools and workflows to make it easier to manage and act on this vast information. You will also be working on AI-based data infrastructure, supporting new functionalities on existing platforms, and mining data for analytics insights and product features.
Your Day:
Provide Technical leadership and mentor junior engineers.
Research, architect and develop innovative algorithms for information retrieval, classification, clustering, user personalization, user segmentation and personalized recommendations.
You will be responsible for improving information extraction using machine learning and natural language processing techniques.
Take end to end ownership of cost effective and scalable Inference systems for various models including state of the art LLMs
Architect and Improve our existing data infrastructures for machine learning and deep learning using your core expertise.
Interact with data analysts, data scientists, product managers, and software engineers to understand business problems, technical requirements to deliver E2E engineering solutions.
Lead data investigations to troubleshoot data issues that arise along the data pipelines
Maintenance and improvement of released systems
You must have:
BS with 10 years of relevant Industry experience/M.S. in Computer Science with 8 years of relevant Industry experience. Computer Science graduate ideally with specialization in Data Engineering or Machine Learning
Experience in building cost effective and scalable ML inference infrastructure.
Experience with Deep Learnin
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