Research Scientist - Salesforce AI Research
Salesforce · New York, NY
- On site
- Full-time
- $276,100 / year
- New York, NY
Job highlights
- Lead AI research for Salesforce's #1 AI CRM.
- Develop novel models for Generative AI and NLP.
- Publish research in top academic conferences.
- Solve real-world, large-scale AI problems.
- Ideal for prior Salesforce AI interns.
About the role
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
Job Details
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
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
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.
Key skills/competency
- Generative AI
- Natural Language Processing (NLP)
- Deep Learning
- Machine Learning
- Large Language Models (LLMs)
- Computer Vision
- Reinforcement Learning
- Research Scientist
- AI Research
- Python
Skills & topics
- Research Scientist
- AI Research
- Generative AI
- Natural Language Processing
- Deep Learning
- Machine Learning
- Large Language Models
- Computer Vision
- Reinforcement Learning
- Python
How to get hired
- Tailor your resume: Highlight AI, NLP, LLM, and deep learning experience. Emphasize publication records and large-scale project delivery.
- Showcase research: Quantify impact of your research and projects. Mention top-tier conference publications and patents.
- Prepare for technical interviews: Brush up on algorithms, data structures, deep learning, and ML concepts. Practice coding in Python or C++.
- Understand Salesforce AI: Research Einstein GPT and Salesforce's AI strategy. Align your experience with their product needs.
- Network internally: Leverage your previous intern experience to connect with potential mentors or hiring managers.
Technical preparation
Behavioral questions
Frequently asked questions
- What is Salesforce looking for in a Research Scientist for AI Research?
- Salesforce AI Research seeks outstanding scientists with a strong background in Generative AI, NLP, Deep Learning, Computer Vision, or Reinforcement Learning. A Ph.D./Master's degree, a strong publication record in top AI venues, and experience with programming languages like Python or C++ are essential. Prior Salesforce internship experience is a requirement for this role.
- What kind of research projects can I expect as a Research Scientist at Salesforce?
- As a Research Scientist, you will own and pursue ambitious research goals, develop novel models, design experiments, and advance the state of the art in AI. You'll work on large-scale Generative AI, NLP, and Deep Learning problems, potentially impacting millions of CRM customers through products like Einstein GPT. Opportunities exist for both pure and applied research.
- What are the minimum qualifications for the Research Scientist position at Salesforce AI Research?
- The minimum qualifications include a Ph.D./Master's degree in a related technical field, a strong publication record in top AI conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, ECCV, ICCV), proficiency in programming languages like C++ or Python, experience with deep learning libraries (TensorFlow, Jax, PyTorch), and proven ability to innovate and deliver at a large scale, particularly with LLMs.
- Is previous internship experience at Salesforce required for this Research Scientist role?
- Yes, this specific Research Scientist role is explicitly stated as being open only to prior Salesforce interns. Applicants who do not meet this prior internship criterion will not be considered for this position.
- How does Salesforce use AI in its recruiting process for Research Scientist roles?
- Salesforce utilizes AI tools to assist recruiters in assessing and evaluating candidates' resumes and qualifications. However, the company emphasizes that human decision-makers will always make the final candidate selection and hiring decisions. More information can be found in their Candidate Privacy Statement.
- What is the role of Generative AI and NLP at Salesforce?
- Generative AI and NLP are central to Salesforce's strategy, particularly with the launch of Einstein GPT, the world's first Generative AI for CRM. These technologies enable AI-created content across all customer interactions, transforming customer experiences at hyper-scale.
- Can I switch between pure and applied research at Salesforce?
- Yes, Salesforce AI Research offers the opportunity for research scientists to switch between pure and applied research. This flexibility allows scientists to explore foundational research questions and then apply those breakthroughs to real-world product challenges.