Principal Machine Learning Engineer

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.

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 monthly active 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.

About the team:

The Mail Intelligence AI/ML platform is dedicated to developing scalable, intelligent capabilities that uncover user interests, reveal habits, and personalize journeys within Yahoo Mail and the broader Yahoo ecosystem. We seek innovative, entrepreneurial engineers who are passionate about delivering top-tier solutions. Your passion and ownership mindset are as vital as the high engineering standards, code quality, and architectural excellence we uphold.

We leverage cutting-edge algorithms, including natural language processing, generative AI, large language models, and machine learning, to process billions of mail messages. This enables us to extract information, build mail content, enhance user knowledge, and connect diverse data sources to highlight and amplify key insights.

Our work presents rewarding technical challenges for high-caliber engineers eager to tackle impactful problems. You will develop tools and workflows to efficiently manage and utilize vast data, work on AI-based infrastructure, support new functionalities, and mine data for analytics insights and product features.

Sounds Exciting? Then, come join us!! 

Responsibilities: 

• Contribute to Mail Intelligence Mission: Support the development of AI/ML capabilities that enhance user personalization and insights within Yahoo Mail and the broader Yahoo ecosystem.

• Innovate and Personalize: Assist in building scalable AI/ML solutions that identify user interests and habits, contributing to personalized user experiences.

• Technical Leadership: Guide and mentor a team of passionate engineers, fostering a culture of innovation and excellence. Your leadership will ensure the delivery of high-quality, user-centric solutions.

• Collaborative Development: Work with cross-functional teams to integrate new AI/ML features and improve existing platforms, ensuring smooth user interactions.

• Data-Driven Insights: Apply machine learning techniques and big data processing to derive insights from mail data, enhancing content and user knowledge.

• Tool and Workflow Development: Develop AI/ML tools and workflows to manage and utilize large datasets, supporting AI-based infrastructure and analytics.

• A/B Testing and Analysis: Run regular A/B tests, gather data, and draw conclusions on the impact of your models.

• Commitment to Excellence: Maintain high engineering standards, focusing on code quality and architectural skills, while delivering optimal user experiences.

• Feedback and Recovery: Implement feedback loops and recovery paths to handle AI failures gracefully, ensuring user satisfaction.

• Balance Tradeoffs: Manage cost, quality, and speed tradeoffs in AI/ML solutions to optimize performance.

A lot about YOU

• Educational Background: You have a strong foundation in computer science, data science, or a related field, with a focus on machine learning and AI technologies.

• Technical Skills: Proficient in programming languages such as Python or Java and machine learning frameworks like TensorFlo