Salesforce AI Research aims to advance AI techniques that lead to new research directions, innovative products, and applications with a positive societal impact. The team focuses on developing explainable, transparent, and accountable AI to bring companies and customers together.
Requirements
- PhD or MS candidate in a relevant research area.
- Strong background in machine learning, natural language processing, computer vision, or reinforcement learning.
- Excellent understanding of deep learning techniques, including CNN, RNN, LSTM, GAN, attention models, and optimization methods.
- Experience with one or more deep learning libraries and platforms (e.g., PyTorch, TensorFlow).
- Strong algorithmic problem-solving skills.
- Programming proficiency in Python, Java, C/C++, Lua, or a similar language.
Responsibilities
- Collaborate with a team of research scientists and engineers on a project designed to lead to a submission at a top-tier conference.
- Develop novel algorithms and techniques that can be applied to real-world customer challenges within the Salesforce ecosystem.
- Contribute to the AI community by focusing on pure research that aligns with your PhD focus area.
- Learn about exciting research and applications outside your expertise.
- Attend conferences with our researchers to showcase accepted papers (when applicable).
Other
- PhD or MS candidate in a relevant research area.
- Candidates that have published in top-tier conferences or journals (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, CHI) are highly preferred.
- This internship is a minimum of 12 weeks.
