Research Scientist - Salesforce AI Research

Salesforce Salesforce · Enterprise · Palo Alto, CA +1

Salesforce AI Research is seeking an AI Research Scientist/Engineer to develop new technology and science for millions of CRM customers, focusing on large-scale Generative AI, Agentic Systems, Speech Intelligence, and Multimodal Deep Learning. The role involves discovering research problems, developing novel models, and bridging theory with customer-facing reality, with opportunities to advance state-of-the-art AI and see work operate at massive scale within an enterprise context. Responsibilities include owning research goals, developing novel models and solutions for enterprise problems, and designing/building production-ready services and agentic evaluators.

What you'd actually do

  1. Own and pursue ambitious research and engineering goals aligned with strategic initiatives.
  2. Develop novel models and technical solutions for real-world, large-scale problems within the enterprise ecosystem.
  3. Design, build, and maintain production-ready services, including scalable APIs and agentic evaluators.
  4. Collaborate across a strike-team of researchers and engineers to deliver complex projects that directly impact our core AI products and customer experiences.

Skills

Required

  • 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.

Nice to have

  • 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.

What the JD emphasized

  • strong publication record in top AI venues 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.

Other signals

  • develop new technology and science that millions of CRM customers will use
  • advance the state-of-the-art in AI
  • see that work operate at massive, real-world scale
  • hard, enterprise-level applications
  • production-ready services
  • large-scale Generative AI
  • Agentic Systems
  • Speech Intelligence
  • Multimodal Deep Learning