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.
* Salesforce Research advances state-of-the-art AI techniques, developing models and prototypes that pave the path for innovative products  tackle real-world problems in areas such as image recognition and natural language processing from Salesforce's enterprise customers by harnessing the latest deep learning techniques. As part of our team you’ll learn unique skills, work with talented people and help us shape the future of AI in Palo Alto and our recently announced new hub, Salesforce Research Asia in Singapore!
** 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.
** Salesforce AI Research is looking for outstanding AI Research Scientists / Research Engineers.
** Our team discovers new research problems, develops novel models, and bridges the gap between groundbreaking theory and customer-facing reality. We are dedicated to a high-impact research model that provides the best of both worlds: the ability to advance the state-of-the-art in AI and the opportunity to see that work operate at massive, real-world scale within the world’s #1 AI CRM.

We believe that making substantive progress on hard, enterprise-level applications drives and sharpens the research questions we study.

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 of the following areas:**
* ** Agentic AI & Reasoning:
** LLM-powered agents, reinforcement learning, and autonomous workflows.
* ** Multimodal & Computer Vision:
** Vision-language models (VLM), video understanding, and visual grounding for GUI agents.
* ** Speech Intelligence:
** Voice intelligence, TTS/ASR, human-like turn-taking, and low-latency audio processing.
* ** Efficient Systems:
** Scalable deep learning infrastructure, high-performance audio/video pipelines, and low-latency deployment.
* ** Core Modeling:
** Machine learning methodology, pre-training/post-training (RLHF, DPO), and model distillation.
** Responsibilities:
*** Own and pursue ambitious research and engineering goals aligned with strategic initiatives.
* Develop novel models and technical solutions for real-world, large-scale problems within the enterprise ecosystem.
* Design, build, and maintain production-ready services, including scalable APIs and agentic evaluators.
* Collaborate across a strike-team of researchers and engineers to deliver complex projects that directly impact our core AI products and customer experiences.
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* Minimum Qualifications:

*** Ph.D., Master’s, or Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
* A strong publication record in top AI venues (e.g., NeurIPS, ICLR, ICML, CVPR, ICCV, ACL, EMNLP)
** OR
* * a proven track record of shipping AI products to real users.
* Demonstrated expertise in one or more core focus areas: LLMs, Agentic Systems, Computer Vision/Multimodal, Speech Intelligence, or Research Engineering.
* Experience with Python and deep learning libraries/platforms (e.g., PyTorch, Jax, or Deep Speed).
* Proven ability to implement, operate, and deliver results via innovation at a large scale.
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* Preferred Qualifications:

*** Full-time industry experience in deep learning research and/or product development.
* Experience training and evaluating large-scale multimodal models or speech models, including techniques for alignment, safety, and latency optimization.
* Experience with production cloud deployments (AWS/GCP), container orchestration (Kubernetes), or high-performance systems (MLOps).
* Strong programming skills, with a…