Principal Machine Learning Engineer, Yahoo News

$143,625 - $299,375/Yr

Yahoo Holdings - Omaha, NE

Full-time - Mid Level

Hybrid - Omaha, NE

501-1,000 employees

About the position

The position involves joining Yahoo's team focused on machine learning engineering, modeling, and data engineering to develop innovative solutions for Yahoo News. The role emphasizes collaboration, problem-solving, and a customer-centric approach to enhance user experience and improve editorial tools.

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.
• Collaborate with cross-functional partners to leverage machine learning to improve Yahoo News for readers and build state-of-the-art tooling for the editorial team.

Requirements

• B.S. or M.S. in Computer Science or equivalent experience.
• Industry experience in productionalizing batch and online machine learning models.
• Knowledge of workflow orchestration solutions and best practices.
• 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 experience in Python and Java, Scala, or Go.

Nice-to-haves

• Experience in customer-focused product development.
• Strong curiosity about system and model operations.
• Ability to explain technical concepts to diverse audiences.

Benefits

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