Staff Machine Learning Engineer - Mail Intelligence (Finance)

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 Learning frameworks (Tensorflow/Keras/Spark MLlib)
• Experience with machine learning algorithms, NLP, and/or statistical methods.
• Strong fundamentals: algorithms, distributed computing, data structure, database
• Fluency with at least one of:Java/Python/C++
• Self-driven, challenge-loving, detail oriented, teamwork spirit, excellent communication skills, ability to multitask and manage expectations

You may have:

• Experience of public cloud especially Google Cloud Platform (GCP) is preferred.
• Experience in Hadoop technologies (Map/Reduce, Oozie, Pig, Hive, Spark, Kafka, HBase, Storm) is a big plus

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 $143,625.00 - $299,375.00/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.