Salesforce Research is looking for outstanding research interns. Ideal candidates have a strong background in one or more of the following fields:
- Conversational AI
- Multimodal Data Intelligence
- Multimodal Content Generation
- Fundamentals of Machine Learning and AI
- Responsible & Trusted AI
- Natural Language Processing
Areas of Application:
- Software Intelligence
- AI for Operations
- AI for Availability & Security
- Environment & Sustainability
- Candidates that have published in top-tier conferences or journals (e.g. NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR,) are preferred.
As a research intern, you will:
Work with a team of research scientists and engineers on a project that ideally leads to a submission to a top-tier conference
Learn about exciting research and applications outside your expertise
Focus on pure research that incorporates into your PhD focus area and contributes to the AI Community
Attend conferences with our researchers to showcase your accepted papers
Requirements:
- PhD candidate in a relevant research area
- Excellent understanding of deep learning techniques, i.e., CNN, RNN, LSTM, GRU, GAN, attention models, and optimization methods
- Experience with one or more deep learning libraries and platforms, e.g. PyTorch, TensorFlow, Caffe, or Chainer
- Strong background in machine learning, deep learning, natural language processing, or reinforcement learning
- Strong algorithmic problem solving skills
- Programming experience in Python, Java, C/C++, Lua, or a similar language
This internship is a minimum of 12 weeks
