Senior Applied ML Scientist – Search & Recommendation

This Senior Data Scientist role focuses on building next-generation recommendation systems for impact.com's partnership automation platform, using graph-based architectures, semantic embeddings, and graph ML to serve multi-entity recommendations across advertisers, publishers, creators, products, and consumers. The role requires 3+ years of experience in data science/applied ML with strong Python, SQL, and production pipeline skills, and involves evolving the recommender stack for both batch and real-time contexts.

Develops and optimizes recommendation systems to personalize customer experiences across Nubank's platform. Focuses on building scalable ML models, improving relevance, and driving engagement through data-driven insights.

This Senior Staff ML Engineer role focuses on developing and optimizing machine learning models for search relevance in Coupang's e-commerce platform. The engineer works on ranking algorithms, feature engineering, and model deployment to improve search quality and user satisfaction.

This Senior Staff Machine Learning Engineer role focuses on building and optimizing search and discovery systems at Coupang. The engineer will design and deploy large-scale ML models to improve relevance, ranking, and personalization, working closely with product and engineering teams.

This role focuses on designing and building multi-agent AI systems and production-grade LLM applications for an AI-augmented financial intelligence platform. The engineer will work on core product features that deliver personalized recommendations to finance professionals, leveraging diverse data sources and expert opinions. The role involves close collaboration with a world-class team of developers and cloud engineers in a flat-management structure.

This role focuses on building cloud-native, high-performance backend systems for an AI-augmented financial intelligence platform. The engineer will work on scalable infrastructure that supports personalized recommendations and data processing for finance professionals globally. The position involves collaboration with a team of backend developers and cloud engineers in a flat-management structure.