You will:- Research and read SOTA literature from frontier labs
- Prototype research solutions to current system bottlenecks (shortcut learning, sensitivity w.r.t inputs, etc.)
- Ideally own an medium-to-large scale E2E research project to develop the next-gen critic model at Waymo
You have:- Currently enrolled in a PhD program in Computer Science, Robotics, Electrical Engineering, or a related quantitative field
- Foundational ML knowledge (pre-LLM era)
- Expert knowledge on LLM, VLM, VLA
- Strong software development experience in Python and debugging capability
We prefer:- Strong knowledge in RL
- Understanding of how modern "thinking" mode works
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
