Yahoo Holdings - Omaha, NE
posted 2 months ago
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. In this role, you will be responsible for the hands-on development of "full-stack" ranking, recommendation, and content understanding systems that will power the next generation of Yahoo! News. You will leverage third-party, open-source, and in-house machine learning tools to build high-performing machine learning systems. Collaboration is key, as you will work 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. This position requires a strong understanding of the difference between "research" code and production code, and when each is appropriate. You will also need to have strong written communication and data visualization skills, as well as experience working with modern ML frameworks such as PyTorch, TensorFlow, or Jax. Additionally, a strong working knowledge of data engineering best practices and data warehousing concepts is essential.