Research Scientist - Salesforce AI Research

About the Role

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.

• 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.

• 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.

• 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.

• 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.

Time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), employee stock purchasing program, and equity incentives.

The typical base salary range for this position is $117,200 - $313,700 annually. In select cities within the San Francisco and New York City metropolitan areas, the base salary range is $141,200 - $344,700 annually. Salary does not include bonus, incentive, equity, or benefits.

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Salesforce is an equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. All employees and applicants are assessed on the basis of merit, competence and qualifications without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law.

This policy applies to recruiting, hiring and all aspects of employment.