Senior Software Engineer, Recommendations, Rankings, Predictions, Search Discover

• Develop and test new ranking algorithms and model features
• Analyze experiment results to measure impact and guide improvements.
• Collaborate with other engineers and researchers to implement new ideas.
• Contribute to the quality and reliability of the ranking systems. Explore new techniques to advance content understanding and personalization.
• Design and implement recommendation systems models across different domains, leverage ML infrastructure, and contribute to architecture design.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
  
• 3 years of experience building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, embedding) in production; and experience building architecture.
  
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• 3 years of experience with data analysis, data manipulation, and statistical methods.
  
  

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
  
• 5 years of experience with data structures and algorithms.
• Knowledge of machine learning concepts, algorithms, best practices and building large language models.
• Excellent coding skills in Python and C++.
• Excellent problem-solving and investigative skills, with effective collaboration, communication and team-work skills.

• Bachelor’s degree or equivalent practical experience.
  
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
  
• 3 years of experience building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, embedding) in production; and experience building architecture.
  
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• 3 years of experience with data analysis, data manipulation, and statistical methods.