Search Relevance ML Engineer/Data Scientist - Lead

Salesforce, the world's leading CRM platform, is seeking an exceptional Search Relevance ML Engineer/Data Scientist Lead to join their innovative team. This role combines expertise in Data Science, Machine Learning, and software engineering to enhance search experiences across Salesforce's product suite. As part of the Search Relevance team, you'll work on features that drive the quality and effectiveness of search functionality serving millions of daily requests.

The position requires a seasoned professional with at least 8 years of experience who can bridge the gap between machine learning theory and practical implementation. You'll be working with cutting-edge technologies including Large Language Models, AI frameworks, and cloud platforms while collaborating with a multi-functional team of technologists passionate about data-driven solutions.

The ideal candidate will have a strong background in Information Retrieval, Natural Language Processing, and Learning to Rank systems. You'll be responsible for designing and implementing search relevance features, analyzing usage patterns, and deploying models at scale. The role offers the opportunity to work with diverse data types including structured, unstructured, and social feeds while implementing the latest advances from the research community.

Salesforce's culture of innovation, combined with their commitment to customer success and integrated corporate philanthropy model, makes this an exciting opportunity for someone looking to make a significant impact. The company has been consistently recognized as one of Forbes's "World's Most Innovative Company" and Fortune's "100 Best Companies to Work For," offering excellent growth potential and the chance to work on solutions that improve the state of the world.