Senior Machine Learning Scientist, Coursera

• PhD or Master's degree in Computer Science, Information Retrieval, or closely related fields
• Demonstrated experience in developing advanced search models, recommender systems, incorporating techniques like natural language processing (NLP) and learning-to-rank algorithms
• Familiarity with information retrieval metrics, evaluation methodologies, and scalable search system architecture
• Track record of publishing research in top-tier conferences such as RecSys, SIGIR, EMNLP, WWW, CIKM, or similar venues

Desirable

• We are seeking a pioneering Senior Machine Learning Scientist to join our Discovery Science ML team at Coursera, focusing on creating the next generation of hyper-personalized search systems and recommender systems
• The candidate will play an instrumental role in researching and developing state-of-the-art techniques for relevant search and recommendations
• In addition to helping build robust systems, this role requires keeping abreast of emerging trends and innovations in machine learning, information retrieval, and online education
• Design, develop, and maintain advanced search ranking models, leveraging machine learning techniques such as label collection, personalized ranking, candidate retrieval, user behavior analysis, & LLM’s
• Explore and implement robust query understanding functionality, document understanding, user preference understanding, and low latency transformer-based architectures to improve search relevance
• Collaborate with cross-functional teams to align research goals with business needs and ensure successful deployment of innovative search solutions into production
• Build and manage large-scale search datasets, including corpora, relevance labels, and user interactions, utilizing tools and techniques for data collection, cleaning, and preprocessing
• Conduct thorough evaluations of search models using industry-standard metrics, analyze results, and provide insights for model improvement and business strategy
• Stay up-to-date with the latest trends in ML, search science, RecSys, and information retrieval, frequently attending conferences, workshops, and engaging in collaborative research projects
• Contribute to Coursera's research efforts by publishing in top-tier conferences such as SIGIR, WWW, CIKM, and similar venues

• As a remote-first company, our interviews and onboarding are entirely virtual, providing a smooth and efficient experience for our candidates