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Salesforce, Inc.

Principal Data Scientist

Salesforce, Inc., Palo Alto, California, United States, 94306


Do you want to be at the forefront of a team at Salesforce that is making history? Do you want to build technology and new science that millions of people will use? Are you excited about working on large scale Generative AI, Natural Language Processing (NLP), and Deep Learning?Salesforce, the world’s #1 AI CRM, has recently unveiled Agentforce, a groundbreaking suite of autonomous AI agents that augment employees and handle tasks in service, sales, marketing, and commerce, driving unprecedented efficiency and customer satisfaction. Agentforce enables companies to scale their workforces on demand with a few clicks.The Einstein GPT Data Science Team is looking for strong and recognized experts in Retrieval Augmented Generation (RAG), Knowledge Graphs and generative AI, to help design and develop intelligent, personalized and trusted CRM Generative AI Applications for Agentforce. In this position, you will be the principal scientific resource for full-cycle development (incubation, design, implementation, testing to documentation, and delivery) of our advanced RAG portfolio.Our applied scientists are working on exciting and interesting problems in areas like advanced RAG technologies, Enterprise Knowledge Graphs, Search Relevance, LLM evaluations and metrics, feedback-based learning and parameter efficient fine-tuning. If you are interested in being part of a state-of-the-art foundational applied science team that has high visibility and customer impact, then reach out to join our team!Basic Qualifications

PhD or equivalent Master's Degree plus 7+ years of experience in CS, CE, ML or related fieldExperience with RAG, Knowledge Graphs, NLP methods and generative AIStrong experience building and applying machine learning models for business applicationsStrong experience programming in Python, and using machine learning frameworks such as TensorFlow or PyTorchProven ability to implement, operate, and deliver results via innovation at large scalePreferred Qualifications

A PhD in CS, Machine Learning, Statistics or relevant field7+ years of industry/applied research experience in machine learning, NLP, deep learning and/or information retrievalProven expertise with RAG, knowledge graphs and search relevanceStrong background in ML approaches and techniques, ranging from Artificial Neural Networks to Bayesian methodsExperience with conversational AIFantastic problem solver; ability to solve problems that the world has not solved beforeDemonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teamsExcellent written and spoken communication skills

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