Summer 2025 Intern - Applied Scientist

Global leader in Cloud-based (SaaS) solutions enabling premier brands to maintain robust online presence with high ROI through integrated cloud platform.
$58,000 - $65,000
Machine Learning
Software Engineering Intern
In-Person
5,000+ Employees
AI · Enterprise SaaS

Description For Summer 2025 Intern - Applied Scientist

Salesforce, the global leader in Cloud-based (SaaS) solutions, is seeking an Applied Scientist Intern to join their Einstein GPT Data Science Team. This role offers an exciting opportunity to work on cutting-edge AI technologies and LLM development.

The position involves working on foundational LLMs, platform services tooling, and delivering data science solutions for CRM Generative AI Applications. You'll be tackling fascinating challenges in 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.

As an intern, you'll be part of a dynamic team that values innovation and knowledge sharing. You'll have the opportunity to work with product management and leadership, translate business problems into applied science solutions, and contribute to the development of AI systems that meet specific accuracy and performance targets.

The ideal candidate should be pursuing an MS/PhD in a quantitative discipline and possess strong expertise in machine learning, deep learning, and LLMs. You should be comfortable with the Python scientific stack and have excellent communication skills to collaborate effectively with scientists, engineers, designers, and product managers.

This internship offers hands-on experience in a leading tech company, working on real-world AI applications that impact millions of users. You'll be exposed to the latest AI technologies and have the opportunity to contribute to conferences and open-source tools. Join Salesforce to be part of a team that's shaping the future of enterprise AI solutions.

Last updated 2 days ago

Responsibilities For Summer 2025 Intern - Applied 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 Summer 2025 Intern - Applied Scientist

Python
  • Pursuing a MS/PhD in a quantitative discipline
  • Fluent in prototyping AI solutions, testing machine learning models, and wrangling small/medium sized datasets
  • Expertise in classical machine learning, deep learning, and large-language-models (LLMs)
  • Avid experimenter in all things LLMs and agent systems
  • Proficient in using Python scientific stack (Numpy, Pandas, PyTorch, SciPy, Jupyter)
  • Great communication skills: ability to discuss with scientists, engineers, designers, and product managers

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