Senior Machine Learning Engineer

October 29

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Yahoo

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innovation • internet • technology • advertising • media

10,000+ employees

Founded 1994

📱 Media

💰 $4.8M Series B on 1995-11

Description

• 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 for high-performing systems • Work collaboratively to leverage machine learning to improve Yahoo News and build tooling for editorial team

Requirements

• MLOps / DevOps experience designing, building, and managing scalable infrastructure for training and deploying ML models • Can build CI/CD pipelines to automate testing, validation, and deployment of ML models • Strong working knowledge of observability tools (e.g., Prometheus, Grafana, Datadog etc.) • Ability to formalize a product problem, run reproducible offline experiments and analyze 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 • Strong working knowledge of data engineering best practices & data warehousing concepts • Strong familiarity with software engineering principles, design patterns, and code quality practices • Previous experience in Python and Java, Scala or Go • Working knowledge of how data scientists leverage data

Benefits

• healthcare • 401K savings plan • company holidays • vacation • sick time • parental leave • employee assistance program