Senior Machine Learning Engineer, Yahoo News

$128,250 - $266,875/Yr

Yahoo Holdings - Champaign, IL

Full-time - Mid Level

Hybrid - Champaign, IL

501-1,000 employees

About the position

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. This position is ideal for those who excel at explaining technical concepts to a diverse audience and have a strong bias for action, problem-solving, and curiosity about how systems work under the hood.

Responsibilities

• Hands-on development of 'full-stack' ranking, recommendation, and content understanding systems for 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 readers and build tooling for the editorial team.

Requirements

• Industry experience in productionalizing batch and online machine learning models.
• Knowledge of workflow orchestration solutions and best practices for their use.
• Experience using and evaluating open-source and third-party 'mlops' solutions.
• Ability to formalize a product problem, run reproducible offline experiments, and analyze results.
• Strong written communication and data visualization skills.
• Experience with modern ML frameworks (e.g., PyTorch, TensorFlow, Jax).
• Understanding of the difference between 'research' code and production code, and when each is appropriate.
• Strong working knowledge of data engineering best practices and data warehousing concepts.
• Familiarity with software engineering principles, design patterns, and code quality practices.
• Previous working experience in Python and Java, Scala, or Go.

Nice-to-haves

• Experience in a collaborative team environment.
• Familiarity with cloud-based machine learning services.
• Knowledge of data privacy and security best practices.

Benefits

• Healthcare coverage
• 401K savings plan
• Company holidays
• Vacation and sick time
• Parental leave
• Employee assistance program