Enterprise AI Research Scientist: Build & Scale AI

salesforce.com, inc.

San Francisco (CA)

On-site

USD 117,000 - 314,000

Full time

14 days+

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Job summary

Salesforce AI Research is seeking entrepreneurial Research Scientists to build, ship, and scale Enterprise AI at global scale. You’ll identify high-impact directions, prototype AI capabilities, validate with customers, and transform ideas into production-ready systems.

You will work like a founder within Salesforce, collaborating with product, engineering, and customers, with autonomy, urgency, and a focus on real-world impact and broad adoption of AI innovations.

Qualifications

  • Strong publication record at top AI venues or proven shipping AI research to products.
  • Experience with Python and DL frameworks (PyTorch, JAX, DeepSpeed).
  • Motivated by real-world impact - scale research to users.
  • Expertise in Agentic AI and Reasoning.
  • Expertise in Multimodal and Computer Vision.
  • Expertise in Speech Intelligence.
  • Expertise in Core Modeling and Time Series.
  • Independent research with impactful systems.

Responsibilities

  • Identify research directions with potential to transform Enterprise AI.
  • Turn promising ideas into zero-to-one AI product prototypes.
  • Work directly with customers to validate needs, test solutions, and refine product direction.
  • Build robust models, agents, and AI systems for real-world enterprise use.
  • Partner with product, engineering, and go-to-market teams to bring solutions to market.

Skills

Python
Deep learning
PyTorch
JAX
DeepSpeed
Research experience
Publications

Education

PhD in CS/AI

Job description

Salesforce AI Research is seeking entrepreneurial Research Scientists to build, ship, and scale Enterprise AI at global scale. You’ll identify high-impact directions, prototype AI capabilities, validate with customers, and transform ideas into production-ready systems.

You will work like a founder within Salesforce, collaborating with product, engineering, and customers, with autonomy, urgency, and a focus on real-world impact and broad adoption of AI innovations.

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