You will:- Survey the state-of-the-art in digital neuroscience / cognitive science and mechanistic interpretability
- Develop models able to represent some select aspects of human driving behavior not typically accounted for by existing data-driven ML models (e.g., collision avoidance, road user interaction or visual behavior)
- Explore and demonstrate different ways in which the internal mechanisms of these models can be interpreted and explained
You have:- A strong research background and expertise in cognitive science and / or neuroscience
- Expertise in contemporary AI and machine learning
- Strong documented computational skills (math and coding)
We prefer:- Specific experience from research on mechanistic interpretability
General Perks:- Help solve challenging problems with a direct impact on the company
- Competitive compensation packages with a housing/relocation bonus (if applicable)
- Medical, dental, and vision insurance
- Fun intern events and networking opportunities
Onsite Perks:- Free breakfast, lunch, dinner, and snacks
- Free access to Google shuttles
- Onsite gym
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
