Senior Machine Learning Engineer

Yahoo is a technology company connecting brands and partners with millions of people. They are seeking a Senior Machine Learning Engineer to develop and optimize ML solutions that solve business problems at scale, collaborating with cross-functional teams to enhance data utilization for marketing and personalization.

Responsibilities:

• ML Implementation: Develop and optimize end-to-end ML solutions that solve business problems efficiently at scale
• Production Deployment: Build reliable pipelines for training, evaluating, and deploying ML models to production environments
• Model Performance: Implement monitoring solutions to track model performance and data quality in production
• Feature Engineering: Design and develop robust features for machine learning models using large-scale data processing frameworks
• Tune, validate, and optimize models for accuracy, efficiency, and scalability, including hyperparameter optimization and performance benchmarking
• Cross-team Collaboration: Work effectively with data scientists to operationalize research models and with product teams to integrate ML capabilities
• Technical Documentation: Create comprehensive documentation for ML systems, models, and processes
• Best Practices: Apply ML engineering best practices including version control, testing, and reproducibility to all projects
• Model Optimization: Improve model efficiency, latency, and resource utilization for production environments
• Problem Solving: Troubleshoot and resolve issues with data pipelines and model serving infrastructure
• Knowledge Sharing: Participate in technical discussions and share knowledge with the broader engineering organization

Requirements:

• BS or MS in Computer Science, Data Science or a related major, or equivalent experience
• 5+ years of software engineering experience, with at least 3+ years focused on machine learning engineering
• 2+ years of experience implementing and deploying ML models to production environments
• 2+ years hands-on experience with Google Cloud Platform ecosystem (BigQuery, Dataproc, Composer, Dataflow, Data Catalog, Observability) or AWS equivalent and their ML services
• Solid programming skills in Python and/or Java
• Strong proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
• Solid understanding of data processing frameworks (Spark, Beam, or equivalent)
• Strong knowledge of ML fundamentals: supervised/unsupervised learning, evaluation metrics, feature engineering
• Proficiency in SQL and working with large datasets
• Demonstrated ability to translate business requirements into technical ML solutions
• Experience collaborating with data scientists and product teams