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Research Scientist - Salesforce AI Research

Job in Palo Alto, Santa Clara County, California, 94306, USA
Listing for: Relha LLC
Full Time position
Listed on 2026-01-31
Job specializations:
  • IT/Tech
    AI Engineer, Data Scientist
Job Description & How to Apply Below
Research Scientist - Salesforce AI Research

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.

About Futureforce University Recruiting

Our Futureforce University Recruiting program is dedicated to attracting, retaining and cultivating talent. Our interns and new graduates work on real projects that affect how our business runs, giving them the opportunity to make a tangible impact on the future of our company. With offices all over the world, our recruits have the chance to collaborate and connect with fellow employees on a global scale.

We offer job shadowing, mentorship programs, talent development courses, and much more.

Job Category Software Engineering About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

This role is only open to to prior Salesforce interns. All others who do not meet this criteria will not be considered.

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

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.

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., Tensor Flow, 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…

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