Description
Salesforce AI Research is looking for outstanding AI Research Scientists / Research Engineers.
Do you want to be at the forefront of a team at Salesforce that is making history? Do you want to develop new technology and science that millions of CRM customers will use? Are you excited about working on large-scale Generative AI, Agentic Systems, Speech Intelligence, and Multimodal Deep Learning?
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: https://www.salesforceairesearch.com
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.
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 DeepSpeed).
Proven ability to implement, operate, and deliver results via innovation at a large scale.
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 competitive background (e.g., ACM-ICPC or significant open-source contributions) or experience in UI/graphic design.
Thoughtful about AI impacts, trust, and ethics.
Outstanding communication, collaboration, and problem-solving skills.
For roles in San Francisco and Los Angeles: 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.