By working with our group, you will:

• Work on important problems in areas such as healthcare and climate change, using AI.
• Build and deploy machine learning / deep learning algorithms and applications.

Values

Here are some values that we would like to see in you:

• Hard work: We expect you to have a strong work ethic. Many of us work evenings and weekends because we love our work and are passionate about the AI mission. We also value velocity, and like people that get things done quickly.
• Flexibility: You should be willing to dive into different facets of a project. For example, besides developing machine learning algorithms, you may also need to work on data acquisition, conduct user interviews, or do frontend engineering. This may also require going outside your comfort zone, and learning to do new tasks in which you’re not an expert.
• Learning: You should have a strong growth mindset, and want to learn continuously. This can involve reading books, taking coursework, talking to experts, or re-implementing research papers. We will also prioritize your learning and help point you in the right direction; but you need to put in the work to take advantage of this.
• Teamwork: We work together in small teams. You are expected to support and collaborate with others; in turn you will also receive support from your teammates.

Prerequisites

You should have a strong ML background, or a strong software engineering background.

• ML/AI background: You have a solid background in probability and linear algebra, and have done well in AI/ML coursework. For example, Stanford students should have taken CS229 before applying. Previous ML/AI research experience would be a plus but is not required.
• Software engineering background: We also encourage engineers without much AI background who are interested in developing ML applications to apply. Applicants should have made significant contributions to software projects in the past, for example through developing software systems at a company or through significant open source contributions.

Applying

Please see below for how to apply to work with our group. Due to a high number of applicants we may be unable to respond to individual emails. We can only work with Stanford students at this time.

Stanford PhD Students

• Stanford PhD students interested in rotating with Professor Ng should email us at ml-apply@cs.stanford.edu using their Stanford email with the subject line “FirstName LastName PhD Rotation”.

Other Stanford Students

• We encourage other Stanford students who want to work with us to apply to either the AIHC, AICC, or Medical AI bootcamp.
• Outside of coursework, we expect this to be your primary academic activity.
• As it takes time to familiarize oneself with a research project and to make significant contributions, we expect that students will be involved for at least two quarters, with a strong preference for those who can potentially stay involved for the full school year.