Salesforce AI Scientist 

United States, California, Palo Alto 

710532035

Job Category

Job Details

Job Descriptionfor real-world use cases- including exploring innovative approaches to agent systems andtaking on the complex challenge of building testing frameworks and test cases

• 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

• Fluent in prototyping AI solutions, testing machine learning models, and wrangling small/medium sized datasets
• BS/MS in a quantitative discipline with 7+ years of relevant experience.
• Expertise in classical machine learning, deep learning, andlarge-language-models(LLMs)
• Avid experimenter in all things LLMs and agent systems towards innovating how current AI solutions are build
• Proficient in using Python scientific stack (e.g. Numpy, Pandas, PyTorch, SciPy, Jupyter)
• Proficient in shell scripting, Unix/Linux command-line tools, working with cloud infrastructure (AWS)
• Great communication skills: ability to discuss with scientists, engineers, designers, and product managers

• Experience in building agent systems and shipping to production
• Ph.D. with 1+ years of relevant experience
• 7+ years of Deep Experience in reinforcement learning, deep learning, causal inference, and information retrieval
• Open-source machine learning code from one's paper, contributions to any projects, implementations of papers
• Publications in any of {cvpr, iccv, eccv, neurips, iclr, icml, acl, emnlp, recsys, kdd}

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