salesforce.com, inc.
Principal Data Scientist
salesforce.com, inc., Palo Alto, California, United States, 94306
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job Category
DataJob Details
About SalesforceWe're Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world.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 skillsAccommodations
If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.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.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, and benefits.
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DataJob Details
About SalesforceWe're Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world.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 skillsAccommodations
If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.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.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, and benefits.
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