Summer 2025 Intern - Applied Scientist

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Fixed Term & Temporary

About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

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. We do that by providing a highly scalable, integrated cloud platform that allows our clients to rapidly launch and manage multiple e-commerce stores, initiate unique marketing campaigns, and drive customer traffic across a global footprint.

We are looking for a top-notch Applied Scientist Intern to join the Einstein GPT Data Science Team. Our team develops foundational LLMs, platform services tooling and delivers data science solutions to help design and develop intelligent, personalized and trusted CRM Generative AI Applications for Agentforce. Our applied scientists are working on exciting and interesting problems in areas like LLM fine-tuning, evaluations and metrics, retrieval augmented generation technologies, feedback-based learning, parameter efficient fine-tuning optimizations, reinforcement learning, LLM alignment, bias mitigation, and multilingual support.

We are looking for someone who gets a kick out of staying on top of the latest AI literature/tools/techniques and figuring out the best way to apply these for practical solutions. We encourage contribution to tools and knowledge sharing within the team, the company, and the industry.

Responsibilities:

• 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

Qualifications:
Must-Have

• Fluent in prototyping AI solutions, testing machine learning models, and wrangling small/medium sized datasets

• Pursuing a MS/PhD in a quantitative discipline

• Expertise in classical machine learning, deep learning, and large-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)

• Great communication skills: ability to discuss with scientists, engineers, designers, and product managers
   

Nice to have

• Experience in building agent systems and shipping to production

• 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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For California-based roles, the base salary hiring range for this position is $58 to $65.

Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.