Salesforce
Research Scientist - Salesforce AI Research
$117K–$345K
California - Palo Alto +1 · Office Tech-Flexible · Full-time · Posted Aug 26, 2026
- Location
- California - Palo Alto
California - San Francisco - Education
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field — or equivalent full-time industry experience in deep learning research or product.
About the job
Conducts enterprise AI research, prototypes and validates AI products with customers, and develops research concepts into production systems.
What you'll do
- Identify high-impact Enterprise AI research directions and turn ideas into AI product prototypes.
- Work with customers to validate needs, test solutions, and refine product direction.
- Build enterprise-ready models, agents, and AI systems, partnering across teams to bring them to market.
What they ask for
- Strong publication record at top AI venues and/or proven experience shipping AI research into products.
- Experience with Python and deep learning frameworks such as PyTorch, JAX, or DeepSpeed.
- Demonstrated expertise in one or more stated AI focus areas, such as agentic AI, multimodal AI, speech intelligence, or core modeling and post-training.
- Ability to conduct independent research and translate ideas into impactful systems.
Nice to have
- Ph.D. in a relevant technical field or equivalent full-time industry experience in deep learning research or product.
- Experience building and scaling ML models for business applications, mentoring researchers, or programming/open-source work.
Pay
$117,200 - $313,700 annually (base salary); $141,200 - $344,700 annually (base salary)
Tools
Python, PyTorch, JAX, DeepSpeed
AI focus
Research and build Enterprise AI, including agents and reasoning, multimodal and vision systems, speech intelligence, model pre-training and post-training, evaluation, and time series modeling.
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