Search Relevance ML Engineer/Data Scientist - Lead

Salesforce is seeking an exceptional engineer with expertise in both Data Science and Machine Learning for their Search Relevance team. This role represents an exciting opportunity to impact millions of users through the development of intelligent search features across Salesforce's extensive product suite.

The position combines cutting-edge machine learning applications with practical software engineering, focusing on improving search relevance through data-driven approaches. As a Lead ML Engineer/Data Scientist, you'll be working with state-of-the-art technologies including Large Language Models, cloud platforms like AWS SageMaker, and modern AI frameworks such as TensorFlow and PyTorch.

The role is perfect for someone who has deep technical expertise (minimum 8 years of experience) and can bridge the gap between theoretical machine learning concepts and practical implementation. You'll be responsible for designing and deploying large-scale ML models, conducting A/B testing, and developing new relevance features based on the latest research developments.

Working at Salesforce, the world's #1 CRM platform, offers unique advantages. The company is consistently recognized for innovation and workplace culture, being named one of Forbes's "World's Most Innovative Company" five years running and one of Fortune's "100 Best Companies to Work For" eight consecutive years. The position offers competitive compensation ($184,000 - $276,100 depending on location) and the opportunity to work with a talented team of technologists.

The ideal candidate will have a strong background in machine learning, information retrieval, and software engineering, with experience in Python and Java development. You'll be joining a collaborative, multi-functional team that values well-designed and well-tested products. This role offers the perfect blend of technical challenge, innovation opportunity, and the chance to impact millions of users through search relevance improvements.