Lead Data Scientist

To ensure the best experience as a candidate, we recommend applying for no more than 3 roles within a 12 month period to avoid repeating efforts. Job Category: Software Engineering Job Details About Salesforce: We’re Salesforce, the Customer Company that drives the future of business with AI, Data, and CRM. Through our core values, we help businesses in all types of industries forge new paths and connect with customers in innovative ways. We empower you to be a trailblazer, driving your performance and career growth, charting new paths, and improving the state of the world. If you believe businesses can serve as platforms for change and are capable of doing well while doing good, then you've come to the right place. Are you interested in being part of a Salesforce team making history? Do you want to build technology and innovate in areas that millions of people will use? Are you fascinated by large-scale Generative AI, Natural Language Processing (NLP), and Deep Learning? At Salesforce, we've launched EinsteinGPT, the world's first Generative AI for CRM, which provides AI-generated content across all sales, service, marketing, commerce, and IT interactions, operating at hyperscale. Einstein GPT can revolutionize customer experiences with generative AI. The Einstein GPT Data Science Team is seeking acclaimed experts in NLP and generative AI to help develop intelligent, personalized, and reliable CRM Generative AI applications. You'll have high-visibility and customer impact working on engaging challenges in areas like LLM evaluations and metrics, retrieval augmented generation, feedback-based learning, and more. Basic Qualifications: 1. PhD or equivalent Master's Degree plus 5+ years of experience in CS, CE, ML or a related field. 2. Strong experience with NLP, deep learning, and generative models. 3. Strong experience building and applying machine learning models for business applications. 4. Proficiency in Python and machine learning frameworks like TensorFlow or PyTorch. 5. Proven ability to innovate at large scale and deliver results. Preferred Qualifications: 1. A PhD in CS, Machine Learning, Statistics or a relevant field. 2. 5+ years of industry/applied research experience in machine learning, NLP, deep learning, and/or information retrieval. 3. Expertise with applying LLMs, prompt design, and fine-tuning methods. 4. Strong background in ML approaches and techniques, ranging from Artificial Neural Networks to Bayesian methods. 5. Experience with conversational AI. 6. Published works in top-tier papers in related areas. 7. Fantastic problem solver with the ability to solve unprecedented problems. 8. Excellent written and spoken communication skills. 9. Proven track record of strong working relationships and driving collaboration across multiple technical and business teams. Salesforce is committed to improving the state of our world and driving equality in our communities and our workplaces. We aim to create a workforce that mirrors society through inclusive programs, initiatives and more and welcome all interested applicants to apply. Salaries for these roles range from $172,500 to $280,200 in Washington, $188,200 to $305,600 in California, and $188,200 to $305,600 in New York, depending on experience, skills, and location. Some roles may be eligible for additional incentives and benefits. You can find more details about our company benefits at https://www.salesforcebenefits.com. Salesforce is an Equal Employment Opportunity and Affirms Action Employer. All qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, or disability status. In compliance with the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment, qualified applicants with arrest and conviction records. Please note, Salesforce does not accept unsolicited resumes from third-party agencies or companies without a signed agreement.