Research Engineer, AI for Member Systems

What you'll do

• Develop and implement machine learning algorithms to improve personalization and member experiences.
• Build scalable, production-ready ML solutions for large-scale, real-time systems.
• Optimize the performance and scalability of models for a global user base.
• Design and conduct offline experiments and A/B tests to validate algorithmic changes.
• Improve internal machine learning infrastructure and tooling based on industry best practices.
• Apply expertise in recommendation systems, transformers, or large language models to production environments.

What we're looking for

• At least 5 years of experience applying machine learning in an industrial setting with a track record of delivering results.
• A Master's degree or PhD in Computer Science, Statistics, or a related field.
• Expertise in machine learning algorithms and frameworks for training, tuning, and deploying models in production environments.
• Strong software design and development skills in Python along with Scala, Java, C++, or C#.
• Experience in fields such as Recommendations, Personalization, Bandits, Transformers, LLMs, or RLHF reward modeling.
• Preferred experience building personalization systems, search engines, or large-scale machine learning applications.
• Preferred background in neural networks, natural language processing, or causal inference.
• Strong interpersonal skills including effective written and verbal communication.