AI Scientist

Salesforce is the global leader in Cloud-based (SaaS) solutions that enable the world's premier brands to maintain a robust online presence with high ROI.
$192,900 - $265,200
Machine Learning
Senior Software Engineer
In-Person
5,000+ Employees
7+ years of experience
AI · Enterprise SaaS

Description For AI Scientist

Salesforce is seeking a top-notch AI Scientist to join the Agentforce org. The role involves building, optimizing, and innovating the Agentforce planner system, utilizing frontier foundational models for real-world use cases. Key responsibilities include researching, designing, and prototyping AI solutions, collaborating with engineering and product teams, and staying current with the latest AI literature, tools, and techniques.

Responsibilities:

  • Translate business problems into applied science problems
  • Research, prototype, and build AI demonstrations
  • Design and build AI systems to meet accuracy and performance targets
  • Productize AI innovations with engineering teams
  • Educate teams about AI science
  • Mentor and collaborate with team members
  • Share technical innovations across the company
  • Contribute to conferences and open-source tools

Qualifications:

  • BS/MS in a quantitative discipline with 7+ years of relevant experience
  • Expertise in classical machine learning, deep learning, and large language models (LLMs)
  • Proficiency in Python scientific stack and cloud infrastructure (AWS)
  • Strong communication skills

Nice to have:

  • Experience in building agent systems and shipping to production
  • Ph.D. with 1+ years of relevant experience
  • Deep experience in reinforcement learning, causal inference, and information retrieval
  • Open-source contributions and publications in top AI conferences

Join Salesforce to work on cutting-edge AI technologies and make a significant impact in the field of agent systems and AI innovation.

Last updated 22 days ago

Responsibilities For AI Scientist

  • Work with product management and leadership to translate business problems into applied science problems
  • Research, prototype, and build demonstrations of AI ideas for quick validation and feedback
  • Design and build AI systems to hit accuracy and performance metric targets
  • Productize AI innovations in collaboration with engineering teams
  • Educate engineering and product teams about AI science during collaboration
  • Mentor and collaborate with other members of the team
  • Share technical innovations with the team and across the company
  • Create innovations and contribute to conferences and/or open-source tools

Requirements For AI Scientist

Python
  • BS/MS in a quantitative discipline with 7+ years of relevant experience
  • Expertise in classical machine learning, deep learning, and large-language-models (LLMs)
  • Proficient in using Python scientific stack
  • Proficient in shell scripting, Unix/Linux command-line tools, working with cloud infrastructure (AWS)
  • Great communication skills

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