Search Relevance ML Engineer/Data Scientist - Lead

Salesforce, the world's #1 CRM platform, is seeking an exceptional engineer with expertise in Data Science, Machine Learning, and software engineering for their Search Relevance team. This role focuses on developing and implementing relevance features that enhance the search experience across all Salesforce products. As a Lead ML Engineer/Data Scientist, you'll be part of a dynamic team working on large-scale search systems serving millions of daily requests.

The position requires deep expertise in machine learning, information retrieval, and natural language processing, with at least 8 years of hands-on experience. You'll work with cutting-edge technologies including Large Language Models, AI frameworks like TensorFlow and PyTorch, and cloud platforms such as AWS SageMaker and Amazon Bedrock.

The ideal candidate will combine technical excellence with strong collaborative abilities, working in an Agile environment alongside product and engineering teams. You'll be responsible for designing and implementing search relevance features, analyzing usage patterns, and deploying models at scale while measuring their impact through A/B testing.

Salesforce offers an innovative work environment, being consistently recognized as one of Forbes's "World's Most Innovative Company" and Fortune's "100 Best Companies to Work For." The company's founding principles of cloud computing innovation, flexible business models, and integrated corporate philanthropy create an exceptional environment for career growth.

This role presents an outstanding opportunity to impact millions of users while working with cutting-edge AI and search technologies at one of the world's leading enterprise software companies. You'll be part of the Salesforce Ohana (Hawaiian for "family"), contributing to both technological advancement and positive global change.