You will:- 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
You have:- 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
We prefer:- 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
