Research Engineer 5/6, AI for Member Systems

What you'll do

• Develop and implement machine learning algorithms to improve personalization and member experiences.
• Create scalable, production-ready ML solutions for large-scale, real-time systems.
• Optimize the performance and scalability of machine learning models for a global member base.
• Design and conduct offline experiments and A/B tests to validate algorithmic changes.
• Improve ML infrastructure and tooling to maintain industry-leading practices.
• Train, tune, and deploy models in production environments using Python and other relevant languages.

What we're looking for

• 5+ years of experience applying machine learning in an industrial setting.
• PhD or Masters in Computer Science, Statistics, or a related field.
• Expertise in machine learning algorithms and frameworks for training, tuning, and production deployment.
• Excellent software design and development skills in Python along with Scala, Java, C++, or C#.
• Experience in Recommendations, Personalization, Long-term Reward Modeling, Bandits, Transformers, LLMs, or RLHF.
• Great interpersonal skills including strong written and verbal communication.
• Experience building or enhancing personalization systems, search engines, or similar large-scale ML applications (preferred).
• Background in neural networks, natural language processing, or causal inference (preferred).