Join a growing cloud technology team focused on solving large-scale machine learning challenges. This role offers the chance to design and develop recommender systems that impact millions of users globally. You’ll be working in a collaborative R&D environment that partners with universities, industry leaders, and global customers to advance real-world applications of AI.
What You'll Do
- Design and prototype advanced recommender system algorithms
- Lead end-to-end research projects from ideation to implementation
- Work with large-scale datasets, building robust data pipelines and models
- Publish in top-tier journals and conferences
- Mentor junior researchers and shape strategic research directions
- Collaborate with academic and industry partners on applied research initiatives
What We're Looking For
- Strong background in machine learning and recommender systems
- PhD in Computer Science, Statistics, Mathematics, or a related field
- Proven research track record and hands-on development skills (Python, R, C/C++)
- Experience managing projects in ambiguous or fast-moving environments
- Interest in driving real-world impact through applied research
