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 ... more details
Yahoo is a global media and tech company that reaches hundreds of millions of people around the world, bringing them closer to what they love—from finance and sports, to shopping, gaming and news—with the trusted products, content and tech that fuel their day. For partners, we provide a full-stack platform for businesses to amplify growth and drive more meaningful connections across advertising, search and media.
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 such as Yahoo News, Yahoo Sports and Yahoo Finance.
A Little About Us
Yahoo is a global media and tech company that connects people to their passions. We reach nearly 900 million people around the world, bringing them closer to what they love—from finance and sports, to shopping, gaming and news—with the trusted products, content and tech that fuel their day.
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.
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.
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 (www.yahooinc.com/careers/contact-us.html) or call 408-336-1409. 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 $120,750.00 - $251,250.00/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.
