Senior​/Principal Machine Learning Engineer, Yahoo News; Hybrid NYC or Reston, VA

A Little About Us

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.

New York City or Reston, Virginia - hybrid work environment

• 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.

• 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.

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.

• 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.

• 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, Tensor Flow, Jax).
• Understanding of the difference between "research" code and production code, and when each is appropriate.

• 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.

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…