2027 Summer Intern, PhD, Research, Post Training

Define research goals, setup dataset and training code to hill-climb the model performance, analyze the results and define the next sets of experiments

Write a good document for communicating with team members

Able to use the feedback from the team members to adjust the setup, experiments, and research directions

Currently pursuing a PhD in Computer Science, Robotics, Machine Learning, or a related quantitative field

Knowledge of pre-training and post-training of the large foundation models

Hands-on experience of training modern AI models

Good analytical skills and interpret experiments results and forming verifiable hypothesis

Write a bug-free code, and able to implement correct software without much guidance

Have a solid research background in robotics or self-driving cars

Familiar with modern AI infrastructure and tooling such as pytorch, jax, and comfortable in working on cluster/server environments

Have a strong research skill and publish several papers in top conferences

Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in.

The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements.

Hourly PhD Pay

$85 — $85 USD