FAQs
What is the duration of the internship?
The internship is for the summer of 2025.
Where is the internship primarily located?
The internship will be based on-site at our headquarters in Mountain View, California.
What are the eligibility criteria for applying to this internship?
Candidates must be enrolled in a PhD program in Computer Science, Robotics, or a similar technical field, or enrolled in a master's program with a strong publication record.
What programming experience is required for this internship?
Candidates should have experience in Python and building ML models using JAX, PyTorch, or TensorFlow.
Are there any preferred qualifications for applicants?
Yes, a strong track record of high-quality ML/CV research and publications at top-tier conferences such as CVPR, ICCV, and NeurIPS is preferred, along with experience in object detection, segmentation, and multiple-object tracking.
What specific projects might interns work on?
Interns may work on projects involving multi-modality perception models, including 3D object detection and tracking, semantic segmentation, and large-scale foundation models.
What is the expected compensation for this internship?
The expected hourly rate for master's students is $50.48 and for PhD students is $60.10.
How are interns integrated into the company culture?
Interns are considered an important part of the Waymo culture and are involved in projects that deliver significant impact while also having opportunities to expand their skill set.
Is there a formal recruitment process for interns?
Yes, Waymo has a **rolling basis** for acceptance of resumes until the position is filled. Applicants should apply individually for each role they are interested in.
Does Waymo offer any benefits to interns?
Yes, interns are eligible to participate in the company’s generous benefits programs, subject to eligibility requirements.
What kind of work environment can interns expect?
Interns can expect a collaborative team environment where they will gain experience using large-scale ML infrastructure while tackling complex technical challenges.