Applied Science - LMTS

Posted:
9/11/2024, 12:47:54 AM

Location(s):
Irvine, California, United States ⋅ San Francisco, California, United States ⋅ California, United States ⋅ Washington, United States ⋅ Bellevue, Washington, United States

Experience Level(s):
Mid Level ⋅ Senior

Field(s):
AI & Machine Learning

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

Software Engineering

Job Details

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

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.

Pursuant to 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.

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: https://www.salesforcebenefits.com.

Salesforce

Website: https://www.salesforce.com/

Headquarter Location: San Francisco, California, United States

Employee Count: 10001+

Year Founded: 1999

IPO Status: Public

Last Funding Type: Post-IPO Equity

Industries: Apps ⋅ Cloud Computing ⋅ CRM ⋅ Enterprise Software ⋅ Information Technology ⋅ iOS ⋅ Mobile Apps ⋅ SaaS ⋅ Sales Enablement ⋅ Software