Hook
Inspire and innovate music expression.
Research Scientist, Recommendation Systems
Location
United States
Posted
7 days ago
Salary
Not specified
Postgraduate DegreeEnglishPythonPy Torch
Job Description
• Design, implement, and evaluate machine learning models for recommendation, ranking, and personalization
• Conduct applied research to improve model quality, robustness, and efficiency
• Develop and execute experimentation strategies using offline evaluation and online testing
• Work with complex datasets to understand user behavior and system performance
• Collaborate with engineering and product teams to transition research into production systems
• Share research results in clear, accessible ways with both technical and non-technical audiences
• Stay informed about advances in recommendation systems and related ML methodologies
Job Requirements
- Advanced degree (PhD or MS) in Computer Science, Machine Learning, Statistics, or a related field, or equivalent experience
- Experience developing or applying recommendation, ranking, or personalization models
- Strong foundation in machine learning, statistics, and data analysis
- Proficiency in Python and modern ML frameworks (e.g., PyTorch)
- Ability to conduct independent research and collaborate effectively in team environments
- Prior publications or submissions to RecSys or closely related venues
- Experience working with large-scale data and computational systems
- Experience with representation learning, sequence modeling, or large-scale optimization
- Experience transitioning research prototypes into production systems
Benefits
- Competitive base salary
- Meaningful equity ownership
