Research Scientist - Salesforce AI Research

About the Role

Salesforce AI Research is seeking outstanding AI Research Scientists / Research Engineers to build and deploy high‑impact AI solutions  team focuses on AI‑driven products that serve Salesforce’s enterprise customers, and works in Palo Alto, CA with a new hub in Singapore.

• Agentic AI & Reasoning – LLM‑powered agents, reinforcement learning, autonomous workflows
• Multimodal & Computer Vision – Vision‑language models, video understanding, visual grounding for GUI agents
• Speech Intelligence – Voice intelligence, TTS/ASR, human‑like turn‑taking, low‑latency audio processing
• Efficient Systems – Scalable deep learning infrastructure, high‑performance pipelines, low‑latency deployment
• Core Modeling – Machine learning methodology, pre‑training/post‑training (RLHF, DPO), 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 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.
• 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 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.
• Thoughtful about AI impacts, trust, and ethics.
• Outstanding communication, collaboration, and problem‑solving skills.

Typical base salary range: $117,200 – $313,700 annually (San Francisco/New York City  metro: $141,200 – $344,700). Salary does not include bonus, equity, or benefits.

Salesforce is an equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. This means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.

Know your rights: workplace discrimination is illegal. Any employee or potential employee will be 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 current and prospective employees, no matter where they are in their Salesforce employment journey.

It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between.