Senior/Principal Machine Learning Engineer, Yahoo News (Hybrid NYC or Reston, VA) job opportunity at Yahoo.

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Yahoo Senior/Principal Machine Learning Engineer, Yahoo News (Hybrid NYC or Reston, VA)
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Yahoo News (Hybrid NYC or Reston, VA)

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degreeGeneral
loacation United States of America, United States Of America
loacation United States ..........United States Of America

Yahoo serves as a trusted guide for hundreds of millions of people globally, helping them achieve their goals online through our portfolio of iconic products. For advertisers, Yahoo Advertising offers omnichannel solutions and powerful data to engage with our brands and deliver results. A Little About Us At Yahoo News, we are laser-focused on making discovery delightful and becoming the world’s best curator for our 35 million daily users and expanding our distribution to more platforms to meet millions more users where they are. Building the best guide to the Internet (and the world) requires building the best team. Location Preference: New York City or Reston, Virginia - hybrid work environment Who You Are You excel at explaining technical concepts to anyone and everyone. People enjoy collaborating with you. You have a bias for action. When you see problems, you solve them. You are extremely curious. You are constantly interested in how the systems and models you interact with work “under the hood.” You are customer focused–regardless of whether the customer is an external user or an internal team. You know that writing code isn’t the end of the process, and you delight in understanding how that code is running in production, looking at metrics, and planning improvements. Responsibilities Hands-on development of “full-stack” ranking, recommendation and content understanding systems that will power the next-generation of Yahoo! News.  Leverage third-party, open-source and in-house machine learning tools to build high-performing machine learning systems.  Work collaboratively with cross-functional partners to leverage machine learning to improve Yahoo News for our readers and build state-of-the-art tooling for our editorial team.  Qualifications We are building a team with expertise across machine learning engineering, machine learning modeling and data engineering to enable us to deliver end-to-end product solutions. We encourage you to apply if you have expertise in one of these domains and you are excited to work on a “full-stack” ML engineering team.  ML Engineering  Industry experience in productionalizing batch and online machine learning models.  Knowledge of workflow orchestration solutions and opinions about best practices on how to use them. Experience using and evaluating open-source and 3rd party “mlops” solutions. ML Modeling  Ability to formalize a product problem, run reproducible offline experiments and analyze the results.  Strong written communication and data visualization skills. Experience working with modern ML frameworks (e.g. PyTorch, TensorFlow, Jax).  Understanding of the difference between “research” code and production code, and when each is appropriate.  Data Engineering  Strong working knowledge of data engineering best practices & data warehousing concepts. Strong familiarity with software engineering principles, design patterns, and code quality practices. Previous working experience in Python and Java, Scala or Go. Working knowledge of how data scientists leverage data. #LI-AC1 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.

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