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 Salesforce's product suite. As a Lead ML Engineer/Data Scientist, you'll be part of a dynamic team working on large-scale search services that handle 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, and cloud platforms like AWS SageMaker. The role combines technical leadership with hands-on development, requiring both strong programming skills and the ability to drive innovation in search relevance.

Salesforce offers an innovative work environment, being 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 excellence, customer success, and integrated corporate philanthropy create an exceptional workplace culture. As part of the Salesforce Ohana (Hawaiian for "family"), you'll contribute to improving the state of the world while working with cutting-edge technology.

The role provides competitive compensation ranging from $184,000 to $276,100, depending on location. You'll be based in either San Francisco or Seattle, working with a collaborative team of versatile technologists. This position offers the opportunity to impact millions of users while working at one of the fastest-growing enterprise software companies in the world.