FAQs
What is the main focus of the Waymo Research team?
The Waymo Research team focuses on developing machine learning solutions to safely operate Waymo vehicles in various cities and driving conditions, addressing open problems in autonomous driving.
What are the key responsibilities of a 2025 Summer Intern in this role?
The intern will contribute to simulation-based evaluation of the Waymo Driver, develop controllable and realistic simulation agents, and create adversarial agents for more efficient simulation-based evaluation.
What are the educational qualifications required for this internship?
Applicants must be currently pursuing a MS or PhD degree in Computer Science, Machine Learning, Robotics, or a related technical field.
What programming skills are preferred for this position?
Proficiency in Python and experience with tensor manipulation using tools like NumPy, JAX, or TensorFlow is required.
Are there preferred experiences that would strengthen an application?
Yes, experience with Reinforcement Learning, Latent Variable Modeling, Hidden Markov Models, and Probabilistic Modeling using frameworks like TensorFlow Probability, Pyro, or Stan is preferred.
What is the compensation for this internship?
The expected annual pay for a Master's degree intern is £41,000 GBP, while for a PhD intern, it is £60,000 GBP.
Is the internship position remote?
The position is hybrid, requiring some onsite presence.
When will resumes be accepted for this internship role?
Resumes will be accepted on a rolling basis until the role is filled.
What is Waymo's stance on diversity and inclusion?
Waymo celebrates and supports differences in its workforce and is committed to equal employment opportunity regardless of various personal attributes.
Do interns receive benefits as part of their position?
Yes, interns are eligible to participate in the company’s generous benefits programs, subject to eligibility requirements.
Can I apply for multiple roles at Waymo?
Yes, to be considered for multiple roles, you will need to apply to each one individually.