Salesforce-posted 3 months ago
$58 - $65/Yr
Intern
Palo Alto, CA
5,001-10,000 employees

Salesforce Research advances state-of-the-art AI techniques, developing models and prototypes that pave the path for innovative products at Salesforce. We tackle real-world problems in areas such as image recognition and natural language processing from Salesforce's enterprise customers by harnessing the latest deep learning techniques. As part of our team you’ll learn unique skills, work with talented people and help us shape the future of AI in Palo Alto and our recently announced new hub, Salesforce Research Asia in Singapore! Salesforce AI Research advances AI techniques that pave the path for new AI research directions, innovative products, and applications with a positive impact on society. Our team of researchers, engineers, product managers, and designers drives AI innovation across pure research, applied research, and new product incubation—all built on our powerful AI platform. We bring companies and customers together using explainable, transparent, and accountable AI. As part of our team, you’ll gain unique skills, work with talented people, and influence the industry standard for the fair and ethical use of artificial intelligence to help us shape the future of AI.

  • 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).
  • 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.
  • Candidates that have published in top-tier conferences or journals (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, CHI) are highly preferred.
  • Time off programs
  • Medical, dental, vision, mental health support
  • Paid parental leave
  • Life and disability insurance
  • 401(k)
  • Employee stock purchasing program
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