Salesforce Research is looking for outstanding research interns. Ideal candidates have a strong background in one or more of the following fields:
Multimodal Data Intelligence
Multimodal Content Generation
Fundamentals of Machine Learning and AI
Responsible & Trusted AI
Natural Language Processing
Areas of Application:
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:
1. Work with a team of research scientists and engineers on a project that ideally leads to a submission to a top-tier conference
2. Learn about exciting research and applications outside your expertise
3. Focus on pure research that incorporates into your PhD focus area and contributes to the AI Community
4. Attend conferences with our researchers to showcase your accepted papers
-PhD/MS 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, natural language processing, computer vision, 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.
For roles in San Francisco and Los Angeles: Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.