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.
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.
At Yahoo, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected, and empowered to reach their potential and contribute their best. Check out our diversity and inclusion (www.yahooinc.com/diversity/) page to learn more.
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, in addition to equity incentives. Yahoo provides industry-leading benefits including healthcare, 401K savings plan, company holidays, vacation, sick time, parental leave and an employee assistance program. Eligibility requirements apply.Yahoo has a high degree of flexibility around employee location and hybrid working. In fact, our flexible-hybrid approach to work is one of the things our employees rave about. Most roles don’t require specific regular patterns of in-person office attendance. If you join Yahoo, you may be asked to attend (or travel to attend) on-site work sessions, team-building, or other in-person events. When these occur, you’ll be given notice to make arrangements.
If you’re curious about how this factors into this role, please discuss with the recruiter.
Currently work for Yahoo? Please apply on our internal career site.