Salesforce
Lead Applied Scientist
Salesforce, San Francisco, California, United States, 94199
Job Category:
Software Engineering
About Salesforce:
We’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. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.
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?
At Salesforce, we have launched EinsteinGPT, the world’s first Generative AI for CRM, which delivers AI-created content across every sales, service, marketing, commerce, and IT interaction, at hyperscale. With Einstein GPT, Salesforce can transform every customer experience with generative AI.
The Einstein GPT Data Science Team is looking for strong and recognized experts in NLP and generative AI, to help design and develop intelligent, personalized, and trusted CRM Generative AI Applications. Our data scientists are working on exciting and interesting problems in areas like Advanced RAG and retrievers, Knowledge Graphs, LLM evaluations and metrics, feedback-based learning, parameter efficient fine-tuning, reinforcement learning, LLM alignment, bias mitigation, and multilingual support. If you are interested in being part of state-of-the-art foundational applied science that has high visibility and customer impact, then reach out to join our team!
Basic Qualifications:
PhD or equivalent Master's Degree plus 5+ years of experience in CS, CE, ML or related field
Strong experience with NLP, deep learning, and generative models
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
5+ years of industry/applied research experience in machine learning, NLP, deep learning and/or information retrieval
Expertise with applying LLMs, prompt design, and fine-tuning methods
Strong background in ML approaches and techniques, ranging from Artificial Neural Networks to Bayesian methods
Experience with conversational AI
Top-tier papers published in related areas.
Fantastic problem solver; ability to solve problems that the world has not solved before
Excellent written and spoken communication skills
Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams
Compensation:
For Washington-based roles, the base salary hiring range for this position is $176,800 to $243,100.
For California-based roles, the base salary hiring range for this position is $176,800 to $265,200.
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:
Salesforce Benefits .
#J-18808-Ljbffr
Software Engineering
About Salesforce:
We’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. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.
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?
At Salesforce, we have launched EinsteinGPT, the world’s first Generative AI for CRM, which delivers AI-created content across every sales, service, marketing, commerce, and IT interaction, at hyperscale. With Einstein GPT, Salesforce can transform every customer experience with generative AI.
The Einstein GPT Data Science Team is looking for strong and recognized experts in NLP and generative AI, to help design and develop intelligent, personalized, and trusted CRM Generative AI Applications. Our data scientists are working on exciting and interesting problems in areas like Advanced RAG and retrievers, Knowledge Graphs, LLM evaluations and metrics, feedback-based learning, parameter efficient fine-tuning, reinforcement learning, LLM alignment, bias mitigation, and multilingual support. If you are interested in being part of state-of-the-art foundational applied science that has high visibility and customer impact, then reach out to join our team!
Basic Qualifications:
PhD or equivalent Master's Degree plus 5+ years of experience in CS, CE, ML or related field
Strong experience with NLP, deep learning, and generative models
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
5+ years of industry/applied research experience in machine learning, NLP, deep learning and/or information retrieval
Expertise with applying LLMs, prompt design, and fine-tuning methods
Strong background in ML approaches and techniques, ranging from Artificial Neural Networks to Bayesian methods
Experience with conversational AI
Top-tier papers published in related areas.
Fantastic problem solver; ability to solve problems that the world has not solved before
Excellent written and spoken communication skills
Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams
Compensation:
For Washington-based roles, the base salary hiring range for this position is $176,800 to $243,100.
For California-based roles, the base salary hiring range for this position is $176,800 to $265,200.
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:
Salesforce Benefits .
#J-18808-Ljbffr