Principal Researcher

Research Scientist – Recommender Systems

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

If you are interested in this position, feel free to apply to this job description with your latest resume, and we'll be in touch to discuss next steps!