Yahoo is looking to solve the problem of enhancing user experience on digital platforms through advanced machine learning models and systems, specifically focusing on ranking, recommendation, and content understanding.
Requirements
- Strong expertise in machine learning, NLP, and recommender systems for content classification and personalization.
- Proficiency in Python, Java, or Scala, and experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Experience working with large-scale datasets, distributed computing (Spark, Hadoop), and cloud platforms (AWS, GCP, or Azure).
- Experience with continuous integration/continuous deployment (CI/CD) practices.
- Strong understanding of metadata extraction, named entity recognition (NER), and semantic search technologies.
- Proven ability to scale and optimize ML models for production environments.
- Solid foundation in machine learning operations (MLOps), with experience in automating machine learning workflows in production environments.
Responsibilities
- Design, develop, and maintain advanced machine learning models and systems, specifically focusing on ranking, recommendation, and content understanding to enhance the user experience on digital platforms.
- Collaborate with cross-functional teams, including product managers, data scientists, and software engineers, to integrate machine learning solutions into the broader product infrastructure.
- Monitor and evaluate the performance of machine learning systems in production, utilizing metrics to guide improvements and ensure optimal operation.
- Drive the development and implementation of MLOps practices, ensuring scalability and efficiency of machine learning workflows.
Other
- Bachelor’s or Master’s in Data Science, Mathematics, Statistics, Economics, Computer Science, or a related field.
- 8+ years of software engineering experience
- Adhering to Yahoo policies; exercising sound judgment; working effectively, safely and inclusively with others; exhibiting trustworthiness and meeting expectations; and safeguarding business operations and brand integrity.
- Flexible hybrid work options, with occasional in-person events or team sessions.
- Diverse and inclusive workplace with 11 employee resource groups (ERGs) that enhance a culture of belonging.
