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 field
Experience with RAG, Knowledge Graphs, NLP methods and generative AI
Strong experience building and applying machine learning models for business applications
Strong experience programming in Python, and using machine learning frameworks such as TensorFlow or PyTorch
Proven ability to implement, operate, and deliver results via innovation at large scale

Preferred Qualifications

A PhD in CS, Machine Learning, Statistics or relevant field
7+ years of industry/applied research experience in machine learning, NLP, deep learning and/or information retrieval
Proven expertise with RAG, knowledge graphs and search relevance
Strong background in ML approaches and techniques, ranging from Artificial Neural Networks to Bayesian methods
Experience with conversational AI
Fantastic problem solver; ability to solve problems that the world has not solved before
Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams
* Excellent written and spoken communication skills

Accommodations

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Posting Statement

At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at www.equality.com and explore our company benefits at www.salesforcebenefits.com.

Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce.

Salesforce welcomes all.

For California-based roles, the base salary hiring range for this position is $223,000 to $323,400.

Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.