Research Scientist - Salesforce AI Research

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Palo Alto, CA, USA
In-Office
137K-335K Annually
Cloud • Software
If you’re ready to build your future — and the future of technology — then you’re in the right place.
The Role

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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.

Salesforce AI Research is looking for outstanding research scientists.
Do you want to be at the forefront of a team at Salesforce that is making history? Do you want to research and develop new technology and science that millions of CRM customers will use? Are you excited about working on large-scale Generative AI, Natural Language Processing (NLP), and Deep Learning?
At Salesforce, we have launched Einstein GPT, the world’s first Generative AI for CRM, which delivers AI-created content across every sales, service, marketing, commerce, and IT interaction at hyper-scale. With Einstein GPT, Salesforce can transform every customer experience with generative AI.
Want to learn more? Check this out: Introducing Einstein GPT: The World's First Generative AI for CRM | Salesforce
Research scientists at Salesforce discover new research problems, develop novel models, design careful experiments, and advance the state of the art in AI. The research team is committed to collaboration with the wider research community. At Salesforce AI Research, we innovate by publishing at top academic conferences and filing patents. We embed our research work across Salesforce products for the worlds #1 AI CRM. We gain perspectives from product to research that help guide future directions. We believe that making substantive progress on hard applications can drive and sharpen the research questions we study, and in turn, scientific breakthroughs can spawn entirely new applications. Research scientists have the opportunity to switch between pure and applied research.
Check out our website to learn more about the groundbreaking work of the Salesforce AI Research team https://www.salesforceairesearch.com
Candidates have a strong background in one or more fields: Natural Language Processing, Large Language Modeling, Computer Vision, Reinforcement Learning, or Machine Learning in general.
Responsibilities:

  • Own and pursue ambitious, long-term research goals.
  • Develop solutions for real-world, large-scale problems.
  • As needed lead teams to deliver on more complex pure and applied research projects.

Minimum qualifications:

  • Ph.D./Master's degree in computer science, artificial intelligence, machine learning, or a related technical field.

  • Strong publication record in top AI venues like NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, ECCV, and ICCV.

  • Experience with one or more general-purpose programming languages, including but not limited to C/C++ or Python.

  • Experience with one or more deep learning libraries and platforms (e.g., TensorFlow, Jax, or PyTorch).

  • Proven ability to implement, operate, and deliver results via innovation at a large scale.

  • Large Language Models (LLMs), LLM evaluation and benchmarking, multilingual LLMs, LLMs as foundation of agents

Preferred qualifications:

  • Full-time industry experience in deep learning research/product.
  • Strong experience building and applying machine learning models for business applications.
  • Experience training large language models.
  • Experience mentoring and advising other researchers.
  • Strong programming skills, competitive in ACM-ICPC or other competitions or open source experience is preferred.
  • Experience in implementing high-performance and large-scale deep learning systems.
  • Thoughtful about AI impacts and ethics.
  • Fantastic problem solver; ability to solve problems 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 California-based roles, the base salary hiring range for this position is $137,100 to $334,600.

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 Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Salesforce and has not been reviewed or approved by Salesforce.

  • Fair & Transparent Compensation Pay is positioned as above-market in the U.S., with multiple peer-reported benchmarks converging around a similar median total compensation figure. Compensation is also framed as broadly viewed as fair in aggregate, even while acknowledging variation by role and group.
  • Parental & Family Support Parental leave is described as notably generous for U.S. caregivers, with additional supports like gradual return-to-work and doula reimbursement. Family-building programs are also emphasized through fertility/adoption/surrogacy support with sizeable reimbursement limits.
  • Wellbeing & Lifestyle Benefits Mental-health and coaching offerings are highlighted as accessible supports alongside financial-wellbeing tools. Volunteer Time Off and donation matching are presented as distinctive lifestyle-aligned benefits that add value beyond cash compensation.

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