Senior Machine Learning Infra Engineer - Yahoo Mail

It takes powerful technology to connect our brands and partners with an audience of hundreds of millions of people. Whether you're looking to write mobile app code, engineer the servers behind our massive ad tech stacks, or develop algorithms to help us process trillions of data points a day, what you do here will have a huge impact on our business-and the world. A Little About Us: Digital Transformation is a highly critical initiative for Yahoo Mail and Communications Org. As a part of the effort, we are modernizing our current tech stack on public cloud while building new cloud-native components, systems and tools to support wide range of core features and functionality. Yahoo Mail is the second largest Email provider in the world with very large number of highly active users, and thus very high throughput and scale. We need highly qualified engineers to make critical contributions to Digital Transformation and next generation of Yahoo Mail tech stack. A Lot About You: You are a self-starter with a passion for creating software systems, infrastructure and platforms on public cloud at scale. You have passion to improve the experience for millions of Yahoo Mail users around the world. You are comfortable working in a dynamic environment, with the ability to adapt to new technologies and learnings, and to prioritize multiple tasks and challenges in order to keep pace with an innovative and changing product and technical landscape. Your strong technical background, innovation and clear communication skills will serve you well in this demanding role, as will your comfort working with our high-energy team. Your Day: Design, Develop and Deploy large scale software systems, platforms, infrastructure on public cloud at scale Build cutting-edge highly scalable Machine Learning infrastructure/platform to support multitude product needs across Mail classification, entity extraction and summarization using Generative AI and Deep Learning. Work seamlessly in an individual and team settings on cutting edge innovative technologies Participate in a culture of learning through design discussions and code reviews You Must Have: M.S. in Computer Science or equivalent 4 years of experience in Software/Infrastructure development primarily developing highly scalable ML Ops/ML infrastructure on public cloud. GCP Vertex AI experience is a must Strong programming experience in Java and/or Python Familiarity with ML frameworks (e.g., TensorFlow, PyTorch etc) and libraries (e.g., scikit-learn) Knowledge of DevOps principles, tools and technologies (e.g. CI/CD, Terraform, Containerization) Practical core knowledge of algorithms and data structures #LI-KO1 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 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 ( ) or call . 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 ( ) page to learn more. The compensation for this position ranges from $128, 250.00 - $266, 875.00/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. Equal Opportunity Employer - minorities/females/veterans/individuals with disabilities/sexual orientation/gender identity Minimum Salary: 0.00 Maximum Salary: 0.00 Salary Unit: Yearly

Created: 2024-11-05